text
stringlengths 18
1.23k
| labels
class label 7
classes | keywords
stringlengths 5
6.15k
|
|---|---|---|
Developed Airbyte custom connectors to standardize and speed up the data extraction from sources that didnt have an out-of-the-box connector for a virtual medical scribing company. | 0Data Engineer
| pycharm, tensorflow, visual studio code, google bigquery, tableau, oracle, r, bitbucket, sas, googledata studio ml frameworks, postgresql, looker, python, git, microsoft excel, powerbi, github, gcp, data modeling, mysql, rstudio, statistics, aws, jupyter, snowflake, jupyter notebook, dagster, oracle data, aws redshift, scikit-learn, dbt, apache airflow, keras, planning, airflow, aws s3, sql, airbyte |
Achieved workload reduction by 50% thanks to data automation using Python. | 1Data Analyst
| aws, tableau, databases, pandas, sql, python, git, data, powerbi, visualization, github |
Designed and implemented ETL on AWS using Spark pipelines written in Kotlin and Java. | 0Data Engineer
| other |
Developed data analysis process increasing the efficiency of existing pipelines and data consistency using Scala, Python, and SQL to provide information and data to all the drinks conglomerate. | 0Data Engineer
| apache spark, kafka, apache kafka, databases, pandas, spark, javascript, python, git, powerbi, react native, aws athena, aws emr, azure data factory, prestosql, snowflake, mongodb, aws sdk for python (boto3), aws glue, glue, apache airflow, scala, sql, dynamodb, visualization, metabase, aws ec2, sap, ibm, nlp, postgresql, azure, aws cloudwatch, decision making, azure devops, aws quicksight, java, aws, typescript, databricks, azure sql, jupyter notebook, aws redshift, dbt, aws sqs, airflow, aws s3, presto, data, react |
Developed a time series forecasting model with Python leveraging hierarchical time series forecasting to identify trends, seasonality and forecast future vehicle usage patterns for a US mobility company, enabling analytics resources and facilities allocation and design. Tested Simple Exponential Smoothing, ARIMA, prophet and LightGBM models during the development process. Implemented efficient data storage and retrieval strategies using Snowflake, resulting in cost savings and improved performance. | 3Machine Learning Engineer
| pytorch, lightgbm, apache spark, rest api, folium, databases, pandas, deep learning in python, google cloud vm, aws batch, intro to sql for data science, cleaning data in python, apache cassandra, python, network analysis in python, gcp, data modeling, huggingface, the data, time series, ml frameworks, snowflake, seaborn, planning, tensorflow serving, introduction to data visualization with python, sql, aws eventbridge, shap, statistical thinking in python, visualization, mlflow, postgres, aws lambda, neo4j, data scientist with python track, ibm, tensorflow, xgboost, google bigquery, machine learning with python track, streamlit, cloud run, nlp, postgresql, facebook prophet, aws sns, supervised learning with scikit-learn, open source tools for data science, docker, introduction to databases in python, aws ecs, linear classifiers in python, unsupervised learning in python, hugging face, fastapi, plotly, statistics, java, aws, aws ecr, data studio, neural networks and deep learning, databricks, aws redshift, scikit-learn, flask, aws s3, dash, google data studio, data, the introduction to quantum computing, joining data in sql, redshift, computer vision |
Developed a backend application that utilized FastAPI, Docker, AWS ECR, AWS Elastic File System, AWS S3, and AWS Lambda, enabling users to interact with the aforementioned search engine. | 3Machine Learning Engineer
| removal of punctuation, and a vector indexing search module based on the approximate nearest neighbor algorithm that allows for accurate and faster searching of the k closest embedding vectors given a query embedding vector in large data sets. developed a backend application that utilized fastapi, pyqt, numpy, spacy, n. valencia-marulanda, projects, convolutional neural networks, matlotlib, o. aguirre-ospina, and tensorflow to provide targeted interventions and support to students at risk of dropping out of the university, a platform over which the desktop application ran, developed characterization schemas based on the u-net computer vision model and statistical measurements using keras, huggingface, implemented a rest api using fastapi to serve the text classification model mentioned above.created an etl pipeline using numpy, clean, boto3, national university of colombia feb 2021, 17th ibero-american conference on ai, 2023., proceedings., m. calderón-marulanda, correlated predictors, dvc, seaborn, splitting of contractions, enabling medical teams to objectively estimate epidural anesthesia effectiveness and diagnose patients quickly and accurately., keras, and optimization, a. alvarez-meza, sql, a low-cost, including normalization, mateo tobón-henao, sales, and stopwords.built a text classification model based on the distilbert transformer architecture using huggingface, tensorflow, and aws api gateway to serve the aforementioned loan default prediction model., postgresql, national university of colombia july 2021, national university of colombia, instituto politécnico nacional, matlab, which was essential in an environment where vast amounts of data were constantly being produced., mne, machine learning, docker, graduated with honors., matplotlib, openai api, using python. designed a desktop application designed using matplotlib, fastapi, for thermal images capturing and analyzing. included raspad, spellchecker, andrés álvarez-meza, d. collazos-huertas, developed a student dropout classification model using numpy, designed representation methodologies through functional connectivities using scipy, and aws lambda, structuring machine learning projects, data engineering nanodegree program, a python-based computer vision tool to support anesthesia assessment procedures using infrared thermography. advances in artificial, enabling users to interact with the aforementioned search engine.created an etl pipeline using nltk, ba, scikit-learn, the complete python course, november, numbers, improve their retention rates, and tensorflowlite, scipy, and efficiency in restaurants. the search engine including a preprocessing module based on the siamese vision transformer and openais clip models that project image-to-image and text-to-image databases into a low-dimensional latent space where the similarity between paired samples in the original space is preserved., hyperparameter tuning, developed preprocessing methods based on spatial filters such as surface laplacian and independent component analysis to reduce the low signal-to-noise ratio, 2022, spotifys annoy, rest api, and the encoding of categorical variables.built a loan default prediction model using scikit-learn and mlflow. the model consisted of two stages. the first stage was a feature selection module that filtered out non-relevant predictors based on the gini metric of a decision tree trained on the dataset. the second stage was a logistic regression model that predicted the loan status. this model helped minimize the risk of losing money while lending to customers., databases, pandas, industrial automation engineering, and huggingface to clean and transform text data into numerical data. the cleaning step involved several processes, improving deep neural, and scikit-learn to load, created feetgui, easy-to-use, regularization, python, making it highly portable and convenient., github, and portable computer vision-based tool that allowed users to estimate the effectiveness of epidural anesthesia by describing temperature changes in feet dermatomes, nltk, time series, m. tobon-henao, and process tabular data. the etl pipeline loaded the data from an s3 bucket and addressed issues such as missing values, ml frameworks, github actionsbuilt a two-stage food search engine using huggingface, publications, j. daza-castillo, chatgpt prompt engineering for developers, aws elastic file system, aws sdk for python (boto3), and save money while allocating resources more efficiently for the universidad tecnológica de pereira., aws efs, m. loaiza-arias, aws api gateway, visualization, mlflow, aws lambda, aws ec2, pydantic, natural language processing specialization, electronic engineer, and numpy to extract relevant and interpretable spatiotemporal biomarkers from a sorted collection of thermal images, streamlit, nlp, and spotifys annoy framework with the purpose of improving customer satisfaction, research assistant, b. lotero-londoño, and mlflow. the model aimed to classify newly created social media posts as either real or fake to prevent the harmful effects of their rapid propagation. the chosen transformer architecture enabled the model to make quick and accurate predictions in real-time, colombia, and tensorflow to transform eeg signals into spatiotemporal-frequency graphs. the new representation of the eeg signals helped to better understand how the brain works during motor imagery tasks and improved the performance of brain-computer interfaces in these tasks., and g. castellanos-dominguez., machine learning framework to support multi-channel time series classification in bci systems with preserved interpretability., developed a backend application using fastapi, education, pyqt5, aws, sqlite, aws ecr, raspberry pi, 202 - paper q1, springer international publishing, cartagena de indias, neuronal network and deep learning, aws s3, data, and germán castellanos-domínguez. subject-dependent artifact removal for enhancing motor imagery classifier performance under poor skills. sensors, brain-computer interfaces based on common spatial patterns for motor imagery recognition., computer vision |
Work in the feature market using Python and PySpark to make it more conventional. | 0Data Engineer
| pytorch, apache spark, kafka, c#, apache kafka, databases, pandas, dataflow, spark, css, javascript, apache cassandra, python, structured streaming, gcp, data modeling, datastax, ml frameworks, cloud storage, html, azure data factory, node.js, mongodb, apache airflow, ruby on rails, scala, sql, neo4j, google dataproc, go, tensorflow, google cloud storage, google bigquery, r, blob storage, postgresql, css. ruby on rails, terraform, azure, pyspark, docker, microsoft excel, mysql, linux, java, aws, accountability, azure sql, databricks, shell script, data management, scikit-learn, dbt, shell scripts, redis, airflow, aws s3, dataproc, data, s3, leadership, delta lake, ruby |
Designed custom solutions for a pharmaceutical company that wished to increase the visibility of their whole process. Later implementing said design using Angular 3 for backend purposes and taking the lead of a team of 4 developers. | 4Software Engineer
| apache spark, oracle, databases, dataflow, spark, hive, opensearch, apache hadoop, python, cloud sql, gcp, sap solution, aws emr, angular, nifi, aws glue, apache airflow, sql, elasticsearch, dynamodb, visualization, airbyte, aws lambda, google dataproc, aws ec2, sap, google cloud composer, ibm, hybris, postgresql, aws sns, pyspark, mysql, aws rds, aws, aws step functions, apache hive, apache nifi, aws redshift, dbt, aws sqs, google cloud functions, airflow, aws s3, dataproc, google data studio, data, hadoop |
Designed and implemented new integrations with vendors such as StoreRocket, SMC and FIS, using Elixir from FIS as an example allowing the food prescription platform to scale from the Boston area to the whole US. | 6Full-Stack Engineer
| sql server, databases, postgresql, javascript, azure, kubernetes, phoenix, gcp, programming, java, aws, node.js, elixir, azure sql, google cloud functions, planning, ruby on rails, bigquery, sql, google data studio, data, visualization, jira, .net, angularjs, rspec, ruby, metabase, react |
Created and implemented an ensemble of logistic regression and a random forest model to classify customers’ risk considering data from the National Administrative Department of statistics (DANE) and consumer credit reporting agency for a venture company in Latin America. | 2Data Scientist
| pytorch, numpy, tableau, pandas, dataflow, javascript, cloud sql, python, gcp, time series, ml frameworks, seaborn, google vertex ai, bigquery, sql, shap, visualization, c++, postgres, tensorflow, xgboost, r, vertex ai, bash, postgresql, perl, crisp-dm, matlab, fastai, matplotlib, linux, plotly, statistics, aws, jupyter notebook, aws redshift, scikit-learn, dash, data, redshift, computer vision |
Created ETLs and dashboards using SQL and PowerBI to automate the reporting of KPIs. | 1Data Analyst
| other |
Designed and built a data platform that delivers monthly reports and exposes aggregated data from several sources on a PostgreSQL database. Implemented data pipelines orchestration and documentation using Python and Dagster to aggregate, transform and enrich data. Scope included data quality validation, data profiling, data documentation, data alert generation and unit testing using Great Expectations framework and Pytest. Lectured engineering teams to explain, guide and instruct on the use and operation of the platform. | 4Software Engineer
| numpy, spacy, oracle, confluence, qt pyside, pandas, jenkins, javascript, python, git, github, data modeling, selenium, aws athena, time series, snowflake, redhat, aws glue, dvc, apache airflow, keras, sql, visualization, django, aws lambda, aws ec2, aws secrets manager, ibm, tensorflow, dask, ml tools, great expectations, postgresql, sqlalchemy, pyspark, leaflet, matplotlib, mysql, aws rds, fastapi, linux, plotly, statistics, aws, debian linux, oracle database, jquery, dagster, aws redshift, snowflakedata, windows, sagemaker, scikit-learn, dbt, aws sqs, flask, airflow, aws s3, dash, rpa, pytest, jira |
Developed NLP algorithms using probabilistic methods and transformer encodings to parse text scraped from the web for a talent matching application. Deployed algorithms on AWS Lambda as dockerized FastAPI apps. | 3Machine Learning Engineer
| aws ec2, tensorflow, xgboost, ml tools, streamlit, transformers, databases, pandas, bash, nlp, python, docker, git, aws ecs, decision making, nltk, aws rds, fastapi, aws, node.js, snowflake, mongodb, nodejs, seaborn, scikit-learn, apache airflow, aws s3, sql, data, mlflow, aws lambda |
Data analysis with SQL to test product hypothesis results and their impact on growth. Stack: SQL, DBT, Redshift | 0Data Engineer
| fluentd, fargate, redshift., apache spark, oracle, built power bi dashboards are helping with the communication of insights and monitoring of kpis using dbt., databases, pandas, data engineer, spark, lambda, starburst, hive, kubernetes, python, git, powerbi, support and extension of the company data lake, github, emr on ec2, apache spark. scala, aws emr, aws athena, gitlab, ml frameworks, from which the app team could monitor and discover patterns without increasing costs significantly., designed the data model for the data warehouse with a strong focus on product features and its usage., kinesis data streams, mongodb, oracle rdbms, python., aws glue, apache airflow, and being assigned as the data engineer for several strategic projects b2b and b2c of the company., scala, sql, dynamodb, visualization, aws lambda, aws ec2, atlan, go, sql server, belcorp jan 2018, aws eks, sql., aws ecs, kyligence, with serverless querying, including an in-house coordinator app for custom business rules that were not supported by orchestration tools in that moment., kyvosdeveloped a real-time pipeline for app transactions, linux, java, aws, delivering computed metrics and user insights into several in-house destinations such as sales applications and machine learning models., apache hive, part of the big data team within the data, athena. python, kinesis data firehose, data analysis with sql to test product hypothesis results and their impact on growth., aws redshift, dbt, airflow, aws s3, development of etls, data, s3, aws kinesis, redshift |
Re-designed the entire architecture using SQL and Apache Kafka to enable a better workload process, reducing processing time from hours to minutes, and increasing efficiency and scalability. | 4Software Engineer
| oracle, bitbucket, dataflow, circleci, jenkins, javascript, gcp, confluent schema registry, flyway, aws emr, aws athena, aws glue, datadog, planning, testcontainers, bigquery, sql, spring framework, django, sap, ibm, google cloud storage, kinesis, gcp dataflow, postgresql, docker, design patterns, decision making, fastapi, jquery, databricks, sns, kotlin, aws redshift, gcs, oracle db, aws sqs, s3, pytest, github actions, hadoop, aws kinesis, sap erp, aws neptune, junit 5, msk, apache spark, tableau, rest api, apache kafka, databases, pandas, apache cassandra, python, apache hadoop, structured streaming, data engineering, github, rds, apache airflow, spring, scala, sqs, elasticsearch, visualization, spark structured streaming, airbyte, aws ec2, go, aws sns, collaboration, pyspark, cassandra, mysql, aws rds, java, aws, apache beam, dbt, aws msk, kotest, redis, airflow, aws s3, redshift |
Built a model for loan default prediction, including the deployment as a dockerized API in AWS and an explainability framework on top of it. | 3Machine Learning Engineer
| aws ec2, go, tensorflow, ml tools, bash, nlp, postgresql, docker, python, latex, mysql, golang, statistics, aws, aws redshift, scikit-learn, keras, aws s3, sql, mlflow, computer vision |
Implemented a data warehouse in DBT and SQL based on Kimball’s data modeling technique and the modular data modeling technique. | 0Data Engineer
| apache spark, kafka, apache kafka, databases, python, powerbi, github, gcp, data modeling, aws emr, node.js, snowflake, apache hudi, mongodb, aws glue, google big query, apache airflow, splunk, sql, dynamodb, sharepoint, aws lambda, aws ec2, aws dynamodb, sap, apache iceberg, google cloud storage, google bigquery, r, great expectations, postgresql, aws sns, terraform, docker, aws rds, java, aws, aws step functions, data studio, databricks, aws redshift, dbt, time management, aws s3, data, github actions, aws kinesis, delta lake, react |
Maintained different Go microservices that provided news content in JSON and Protobuf formats. WHAT WAS THE OUTCOME? WHAT WAS THE CLIENT OR PROJECT? | 6Full-Stack Engineer
| junit, go, redux, maven, databases, solr, css, f#, javascript, json, python, git, design patterns, apache maven, knockout js, angular, angular 5, aws, java, ml frameworks, html, typescript, mongodb, jest, aws s3, sql, react-redux, data, dynamodb, visualization, c++, css3, xml, react |
Developed a new way to make recommendations between users using Play framework (Scala) and VueJs; this allowed users to vouch for others and to show inside the app the kind of relationship that was associated with the recommendation: boss, subordinate, partner, etc. This feature increased the number of users that made recommendations in the web application. | 6Full-Stack Engineer
| objective-c, go, xamarin, firebase realtime db, socket.io, databases, swift, bootstrap, postgresql, css, javascript, google datastore, vue, gcp, programming, react native, angular, electronjs, java, aws, twilio, c, html, node.js, typescript, play framework, firebase, react, planning, redis, ruby on rails, vue js, scala, sql, mac os, angularjs, ruby, aws lambda |
Provided specialized programming expertise in various technologies and products, including Google Data Studio, Airflow dags, Python, BigQuery-based data lakes, cloud-based Python functions, and Auth0 authentication strategies for a US based digital marketing company. | 4Software Engineer
| bootstrap, moment.js, vuetify, css, javascript, cacoon, heroku, aws ses, jbuilder, python, git, carrierwave, gcp, programming, stimulus.jsdatabases, kaminari, chart.js, aws cloud watcher, html, node.js, vuex, jest, apache airflow, ruby on rails, nuxt.js, visualization, vue router, graphql, google bigquery, datastudio, hotwire, vue.js, pagy, postgresql, aws sns, apollo, vue, microsoft excel, next.js, aws, jquery, typescript, minitest, firebase, gemfury, data management, firestore, redis, airflow, tailwind css, google data studio, data, jira, auth0, rspec, ruby, react |
Created and implemented the ML project using Python, TensorFlow, Pandas, and SQL on the Google Cloud Platform to improve predictive accuracy for the Phoenix team of the Brain project conducting Score analysis for legal entities of a Brazilian Bank. | 0Data Engineer
| apache spark, kafka, hdfs, tableau, apache kafka, confluence, bitbucket, pandas, databases, spark, jenkins, hive, apache hadoop, python, git, powerbi, pentaho, github, gcp, aws emr, azure data factory, mongodb, apache airflow, apache impala, scala, sql, visualization, neo4j, sap, ibm, tensorflow, hbase, sql server, bash, postgresql, collaboration, sql server integration services, terraform, azure, pyspark, power bi, cloudera, decision making, mysql, linux, aws, apache hive, accountability, azure sql, databricks, aws redshift, data management, dbt, azure cosmos, impala, airflow, rpa, data, jira, hadoop, azure data lake |
Applying multithreading techniques, the team were able to almost double the throughput of processed | 4Software Engineer
| decrease, data in a very intense batch job., apache spark, kafka, oracle, rest api, apache kafka, kubeflow, i was asked to design and build tools to improve citizens relationship, databases, with government, performance, spark, jenkins, javascript, bureaucracy and other key aspects to improve government efficiency., kubernetes, microsoft office, writing applications with a good design to be delivered continuously and follow deployment status to other teams, python, software engineer, using java related technologies, senior software engineer, my tasks were related to deliver solutions that would help, my main tasks were, gitlab, ml frameworks, programs to decrease debts, software architecture, people across the state., snowflake, applying multithreading techniques, pulsar, apache airflow, applying best practices and selecting tools that help developing and delivering applications in a fast-paced and reliable way.
programming, softtek jan 2012, scala, acting mainly as an integration architect inside one of the great retailers on brazil, resource it solutions jan 2013, visualization, mlflow, metabase, sigma, go, working for a state sponsored company, magna sistemas sep 2013, postgresql, the team were able to almost double the throughput of processed, azure, delivered solutions to support a large number of accesses by users worldwide, using an agile methodology and java for a large financial company., process and transform external data delivered by third-party providers into useful, mysql, golang, java, aws, data inside the customer. the main project was maintain a home made solution to integrate hr data, that later was replaced by a solution designed on oracle odi. ive participated designing the solution, applied tdd and architecture knowledge to increase code coverage, testing and fixing errors on odi scripts., deliver information, dbt, increase transparency, tech mahindra may 2014, redash, with a high availability and secure architecture is my current focus, airflow, aws s3, data, s3, related to receive, seldon |
Built REST web services in Python capable of exposing credit risk models written in R for a credit bureau company | 4Software Engineer
| apache spark, c#, hdfs, tableau, uwsgi, databases, pandas, dataflow, spark, jenkins, apache hadoop, python, git, powerbi, github, gcp, aws athena, ml frameworks, azure data factory, node.js, snowflake, aws glue, cron, apache airflow, keras, spring, prefect, scala, sql, visualization, c++, django, cobol, google dataproc, sap, tensorflow, google bigquery, r, microsoft word, azure, matlab, pyspark, docker, cloudera, decision making, design patterns, java, aws, nginx, apache hive, apache beam, opencv, azure sql, databricks, aws redshift, scikit-learn, flask, aws s3, dataproc, data, github actions, hadoop, redshift, delta lake, open cv |
Developed an AWS MLOPS framework to classify products according to clients’ behavior using Python, AWS Sagemaker, AWS S3, AWS Glue, AWS Lambda, AWS SNS, AWS Parameter Store, AWS CDK, and AWS MLOPS methodology. | 5Analytics Engineer
| aws ec2, sap, sap crm, xgboost, aws sns, aws mlops, aws lambda, python, git, data modeling, aws rds, sap business warehouse, aws quicksight, aws, ml, aws redshift, aws glue, sagemaker, aws sqs, sap business objects, sap data services, aws s3, sql, data, aws sagemaker, visualization, sap business objects bi, aws cdk |
Implemented reporting solutions for commercial, outsourcing and trade marketing operations. | 1Data Analyst
| other |
Collaborated with the research team of the regional, urban, and environmental studies and policies Directorate in the construction of dashboards using SAS, PostgreSQL, JavaScript, HTML and CSS to present social indicators for the Atlas of Social Vulnerability. | 2Data Scientist
| pytorch, numpy, kafka, c#, bitbucket, sas, gpack, hive, javascript, kubernetes, git, shiny, powerbi, pycaret, gcp, huggingface, ggplot, seaborn, rest apis, keras, sql, dynamodb, ibm, tensorflow, dask, microsoft word, kinesis, postgresql, causalnex, azure, matlab, docker, microsoft excel, aws ecs, matplotlib, decision making, latex, linux, statsmodels, generative models, scikit-learn, dowhy, scipy, gis, hadoop, aws kinesis, adtk, gpu, apache spark, confluence, apache kafka, databases, pandas, causalimpact, spark, css, ibm watson, atlassian, apache hadoop, python, nltk, gitlab, ml frameworks, html, mongodb, apache airflow, dplyr, scala, tidyverse, visualization, mlflow, pycasual, caret, trello, sql server, r, streamlit, nlp, pyspark, mysql, plotly, statistics, aws, aws ecr, apache hive, airtable, azure sql, causality, flask, airflow, data, jira |
Created data model and online application for the internal tax department using ASP.NET Core and SQL Server | 1Data Analyst
| powercenter, ibm, google bigquery, oracle, sql server, r, sas, databases, google analytics, sql server integration services, python, powerbi, datacleaner, gcp, fivetran, decision making, asana, aws glue visualization, aws, google tag manager, oracle database, sql ssis, snowflake, aws redshift, aws glue, asp.net, dbt, apache airflow, sas miner, google cloud functions, airflow, ibm datastage, aws s3, sql, google data studio, data, aws lambda |
Developed a weekly holiday forecasting using Python, PySpark, and SQL by leveraging Databricks, Prophet, Statsforecasts, and moving event detection to inform and prepare demand planners for critical holiday events for a renowned US retail giant resulting in a 28% decrease on forecasting error. | 3Machine Learning Engineer
| cleanlab, numpy, lightgbm, apache spark, pandas, spark, python, github, gcp, nltk, time series, ml, dvc, seaborn, apache airflow, keras, bigquery, sql, shap, aws api gateway, mlflow, aws lambda, aws ec2, pydantic, google cloud composer, ibm, tensorflow, google cloud storage, dask, xgboost, nlp, great expectations, postgresql, facebook prophet, prophet, matlab, pyspark, microcontrollers, docker, aws neptune, version control, decision making, sqldatabases, aws rds, fastapi, plotly, aws, c, aws ecr, databricks, gcs, scikit-learn, dbt, tf object detection api, airflow, aws s3, data, pytest, beautiful soup, github actions, arduino, computer vision |
Data Quality Assurance : Implemented an observability platform based on Great Expectations, enhancing data quality and ensuring accurate and reliable insights from Big Data | 0Data Engineer
| other |
During my time at Le Wagon, I had the privilege of: | 6Full-Stack Engineer
| graphql, databases, dataflow, vue.js, bootstrap, postgresql, css, javascript, heroku, sql serveranalysisservices, programming, mysql, aws, twilio, html, angular.js, react, haml, ruby on rails, sql, laravel, data, dynamodb, sinatra, rspec, ruby, aws lambda |
Automated infrastructure deployment for CICD using GitHub Actions and Terraform. | 0Data Engineer
| apache spark, kafka, apache kafka, databases, python, powerbi, github, gcp, data modeling, aws emr, node.js, snowflake, apache hudi, mongodb, aws glue, google big query, apache airflow, splunk, sql, dynamodb, sharepoint, aws lambda, aws ec2, aws dynamodb, sap, apache iceberg, google cloud storage, google bigquery, r, great expectations, postgresql, aws sns, terraform, docker, aws rds, java, aws, aws step functions, data studio, databricks, aws redshift, dbt, time management, aws s3, data, github actions, aws kinesis, delta lake, react |
Led the implementation of the Analytics Engineering Initiative inside the company. | 1Data Analyst
| data studio., google bigquery, oracle, tableau, snowflake, databases, sql, python, qliksense, visualization, gcp, mysql |
Developed a process to fetch new data, train the model on different datasets, score the model for new training schemas, and export results back in cloud buckets. Orchestrated using Airflow to make requests to production containers and constantly pull data needed for training from Snowflake. | 3Machine Learning Engineer
| pytorch, numpy, apache spark, kubeflow, pandas, restful api, spark, css, jenkins, javascript, kubernetes, apache hadoop, python, git, github, gcp, iac, aws emr, unix shell.databases, html, node.js, snowflake, ml, gcp vertex ai, mongodb, seaborn, google vertex ai, apache airflow, shap, aws sagemaker, gcp dataproc, c++, mlflow, google dataproc, tensorflow, xgboost, streamlit, bentoml, nlp, postgresql, hdfsdata, matlab, docker, matplotlib, decision making, mysql, fastapi, statistics, aws, java, airflowvisualization, unix, knative, aws redshift, sagemaker, scikit-learn, flask, github actions, hadoop, express |
Fine-tuned OpenAIs CLIP model with images and text descriptions for text-to-image retrieval. | 3Machine Learning Engineer
| pytorch, numpy, lightgbm, rest api, sas, pandas, databases, aws batch, python, github, huggingface, nltk, time series, ml frameworks, aws sdk for python (boto3), dvc, sql, aws eventbridge, aws api gateway, c++, mlflow, aws lambda, aws ec2, go, ibm, tensorflow, xgboost, streamlit, nlp, aws sns, terraform, matlab, pyspark, docker, aws ecs, matplotlib, fastapi, statistics, aws, nginx, aws ecr, aws redshift, scikit-learn, aws s3, aws sdk for python, data, github actions, computer vision |
Automated and integrated a data pipeline using Python Jupiter. | 1Data Analyst
| sap, tensorflow, power automate, tableau, oracle, r, swps, dataflow, postgresql, matlab, python, git, docker, power bi, powerbi, data modeling, aws athena, linux, statistics, aws, ml frameworks, c, microsoft, aws redshift, aws glue, sickit-learn visualization, apache airflow, aws s3, sql, data, sharepoint, erp, metabase |
Led internal technical growth initiatives to increase technical expertise in fields such as Reinforcement Learning for Factored. | 3Machine Learning Engineer
| pytorch, skill development, databases, computer vision, jekyll, javascript, python, computer science, github, google, gcp, angular, business model, ml frameworks, node.js, data privacy, music production, learning, keras, ruby on rails, nuxt.js, visualization, manufacturing processes, classification, pytorch lightning, package management, unsupervised learning, tensorflow, outlier detection, web application, nlp, programming languages, postgresql, machine learning, deep learning, vue, oop, recommendation system, java, c, firebase, pure data, firestore, user interaction, prediction, data, object detection, ruby, react |
Developed, deployed and maintained statistical and machine learning models (rules-based models) for orders forecasting. | 2Data Scientist
| other |
Led the team of web applications development, to meet delivery dates and defined business objectives. | 4Software Engineer
| other |
Designed OLAP data warehouses with OLTP systems as data source using data lakes, ETLs, and data processing in multi-node architecture. | 3Machine Learning Engineer
| aws ec2, aws cloudformation, c#, oracle, sql server, bash, nlp, postgresql, javascript, terraform, kubernetes, microsoft office, python, docker, git, aws ecs, github, gcp, amazon redshift, mysql, aws rds, angular, linux, aws, linux., typescript, databricks, aws redshift, aws glue, apache airflow, sql, rpa, dynamodb, github actions, mlflow, django, react |
Designed teams infrastructure for data science. Custom tools connected with Prefect to production models and data pipeline could easily boost the teams productivity. | 2Data Scientist
| other |
Developed ETL pipelines and designed dashboards using Python, GCP, QlikView, Qlik Sense, and Power BI | 0Data Engineer
| other |
Migrated a 100GB data warehouse including stored procedures and ETLs from Informix to Microsoft SQL Server. | 4Software Engineer
| sql server reporting services, oracle, sql server, apache kafka, postgresql, microsoft sql server, sql server integration services, azure, python, imb informix, microsoft excel, powerbi, sql serveranalysisservices, sql server analysis services, azure data factory, azure sql, snowflake, databricks, apache airflow, scala, sql, data, visualization |
Developed a delivery time prediction product for the logistics teams of many different malls in Brazil I based the roadmap of this product development also on CRISP- DM, finishing with a Decision Tree based regression model to help logistics departments organize their delivery queue and decrease product delays. | 2Data Scientist
| numpy, retail market, apache spark, kafka, tableau, apache kafka, databases, pandas, spark, analysis, python, powerbi, gcp, data modeling, tdd, data analytics, aws athena, time series, ecommerce, ml frameworks, regression model, etl, image quality, mapbox, aws glue, data processing, product quality, data lake, learning, apache airflow, sql, data analysis, visualization, business metrics, mlflow, product development, metabase, unsupervised learning, tensorflow, google bigquery, test driven development, streamlit, outlier detection, data visualization, data preparation, google analytics, increase revenue, apriori algorithm, machine learning, agile methodologies, matplotlib, data science, plotly, recommender system, aws, develop dashboards, random forest, predictive maintenance, ai, opencv, decision tree, image classification, statistical, airflow, aws s3, data |
Designed and developed a pdf-to-text system as the first stage of an end to end solution for pdf summary builder. Implemented the pipeline in Airflow, built AWS Lambda functions with a PyTesseract OCR layer and SQS queue, and results stored in Snowflake for review. | 0Data Engineer
| numpy, spacy, oracle, confluence, qt pyside, pandas, jenkins, javascript, python, git, github, data modeling, selenium, aws athena, time series, snowflake, redhat, aws glue, dvc, apache airflow, keras, sql, visualization, django, aws lambda, aws ec2, aws secrets manager, ibm, tensorflow, dask, ml tools, great expectations, postgresql, sqlalchemy, pyspark, leaflet, matplotlib, mysql, aws rds, fastapi, linux, plotly, statistics, aws, debian linux, oracle database, jquery, dagster, aws redshift, snowflakedata, windows, sagemaker, scikit-learn, dbt, aws sqs, flask, airflow, aws s3, dash, rpa, pytest, jira |
Designed architectural and repository requirements for the junior Bootcamp. | 0Data Engineer
| teradata, oracle, kubeflow, dataflow, google data fusion, kubernetes, python, github, gcp, visual studio, aws emr, aws athena, gitlab, google dataflow, snowflake, ml, mongodb, aws glue, datadog, apache airflow, planning, sql, google dataproc, google cloud storage, google bigquery, sql server, postgresql, aws sns, perl, aws eks, docker, aws ecs, mysql, fastapi, linux, aws, java, bigtable, unix, mssql, apache nifi, unix platforms, aws redshift, windows, aws data stack, scikit-learn, dbt, ms sql, apache nif, windows servers, aws s3, google data studio, data, grafana, github actions |
Developed a proprietary collection of microservices for sentiment analysis and topic classification tasks using Deep Learning. | 3Machine Learning Engineer
| hyperopt, cloudformation, pytorch, numpy, apache spark, aws cloudformation, kafka, apache kafka, databases, pandas, spark, hive, aws batch, apache cassandra, python, apache hadoop, git, aws emr, aws athena, time series, spark streaming, prestosql, mongodb, aws glue, dvc, seaborn, apache airflow, scala, vuejs, dynamodb, c++, mlflow, aws lambda, aws ec2, go, tensorflow, ml tools, streamlit, bash, kinesis, postgresql, facebook prophet, cubejs, sqlalchemy, docker, aws ecs, matplotlib, mysql, aws rds, fastapi, plotly, statistics, aws, apache hive, databricks, aws redshift, snowflakedata, scikit-learn, airflow, and, aws s3, dash, presto, data, hadoop, aws kinesis, react |
Implemented unsupervised methods for outlier detection and semi-supervised classification. | 3Machine Learning Engineer
| pytorch, skill development, databases, computer vision, jekyll, javascript, python, computer science, github, google, gcp, angular, business model, ml frameworks, node.js, data privacy, music production, learning, keras, ruby on rails, nuxt.js, visualization, manufacturing processes, classification, pytorch lightning, package management, unsupervised learning, tensorflow, outlier detection, web application, nlp, programming languages, postgresql, machine learning, deep learning, vue, oop, recommendation system, java, c, firebase, pure data, firestore, user interaction, prediction, data, object detection, ruby, react |
Led the development and maintenance of several internal JS-based libraries to send website metrics, optimizing the process to share data from the front-end development team to the analytics team and gathering more accurate and relevant information for one of the most famous domain and web hosting companies. | 4Software Engineer
| oracle, sql server, databases, postgresql, jenkins, javascript, kubernetes, python, docker, vue, gcp, sql serveranalysisservices, angular js, mysql, angular, java, aws, node.js, node js, databricks, mongodb, mariadb, oracle db, vue js, sql, data, php, react |
Created a data pipeline, from the ingestion of the data through Alteryx, until the transformation of of it through Python and Airflow as a data workflow manager. | 0Data Engineer
| apache spark, c#, oracle, databases, spark, css, javascript, apache hadoop, python, ml frameworks, jupyter, html, azure data factory, aws glue, glue, apache airflow, planning, scala, sql, elasticsearch, c++, .net, postgresqldata, go, sql server, postgresql, terraform, azure, mysql, alteryx, linux, java, aws, aws ecr, azure sql, jupyter notebook, windows, sagemaker, dbt, airflow, aws s3, hadoop |
Built a demand estimation model and a demand forecasting model using gradient boosting, SARIMA, Prophet, Exponential Time Smoothing, and deep learning to optimize vehicle allocation for a Mobility-as-a-Service (MaaS) platform. | 3Machine Learning Engineer
| hyperopt, cloudformation, pytorch, numpy, apache spark, aws cloudformation, kafka, apache kafka, databases, pandas, spark, hive, aws batch, apache cassandra, python, apache hadoop, git, aws emr, aws athena, time series, spark streaming, prestosql, mongodb, aws glue, dvc, seaborn, apache airflow, scala, vuejs, dynamodb, c++, mlflow, aws lambda, aws ec2, go, tensorflow, ml tools, streamlit, bash, kinesis, postgresql, facebook prophet, cubejs, sqlalchemy, docker, aws ecs, matplotlib, mysql, aws rds, fastapi, plotly, statistics, aws, apache hive, databricks, aws redshift, snowflakedata, scikit-learn, airflow, and, aws s3, dash, presto, data, hadoop, aws kinesis, react |
Improved dashboards for progress reports from regional managers by incorporating sentiment analysis, named entity recognition (NER) and other NLP techniques. | 1Data Analyst
| pytorch, apache spark, tensorflow, tableau, r, frameworks, nlp, qlik, spark, postgresql, azure, anaconda, python, sharepoint, microsoft excel, powerbi, pentaho, gcp, java, aws, amazon sagemaker, sagemaker, keras, planning, time management, sql, data, visualization, c++, leadership, computer vision |
Built data pipelines with cloud-native tools (Apache Beam, Python 3, Java11, GCP Dataflow) and workflow tools through DAGs (Apache Airflow, Python 3). | 0Data Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Implemented the infrastructure to store the data and create the logs, the infrastructure to hold the information, and the processes that feed the data indexes using S3, Lambda, Step Functions, Dynamo, Elasticsearch, Python and RedShift. | 4Software Engineer
| apache spark, oracle, databases, dataflow, spark, hive, opensearch, apache hadoop, python, cloud sql, gcp, sap solution, aws emr, angular, nifi, aws glue, apache airflow, sql, elasticsearch, dynamodb, visualization, airbyte, aws lambda, google dataproc, aws ec2, sap, google cloud composer, ibm, hybris, postgresql, aws sns, pyspark, mysql, aws rds, aws, aws step functions, apache hive, apache nifi, aws redshift, dbt, aws sqs, google cloud functions, airflow, aws s3, dataproc, google data studio, data, hadoop |
Managed and created complex queries that connect to PostgreSQL and MongoDB databases. Used MongoDB to optimize the inference time of a machine learning engine used by the web application to match client requirements with company resources. | 3Machine Learning Engineer
| api gateway, apache spark, aws elastic beanstalk, spark, apache cassandra, python, github, gcp, huggingface, time series, node.js, mongodb, stata, nodejs, apache airflow, elasticsearch, aws api gateway, mlflow, aws ec2, tensorflow, xgboost, r, ml tools, nlp, postgresql, docker, aws ecs, cassandra, latex, mysql, fastapi, aws, aws ecr, typescript, aws s3 data, aws redshift, scikit-learn, airflow, aws s3, scikit learn, computer vision |
Ran optimization models to reduce the time execution from 1 day to 4 hours using tools such as: Python, AWS Sagemaker, AWS S3, AWS Glue, AWS Lambda, AWS SNS, AWS SQS, AWS CDK, AWS RDS, and AWS MLOPS methodology. | 5Analytics Engineer
| aws ec2, sap, sap crm, xgboost, aws sns, aws mlops, aws lambda, python, git, data modeling, aws rds, sap business warehouse, aws quicksight, aws, ml, aws redshift, aws glue, sagemaker, aws sqs, sap business objects, sap data services, aws s3, sql, data, aws sagemaker, visualization, sap business objects bi, aws cdk |
Conducted system analysis, configuration, and improvements in Oracle’s technologies including Exadata X6, RAC, and NOC to achieve software performance and reliability. | 0Data Engineer
| oracle, circleci, ibm db2, looker, hyperion oracle, powerbi, gcp, data modeling, terremark dc, aws athena, aws emr, ec2, aws glue, sql, ibm bluemix, sap, ibm, tensorflow, google cloud storage, postgresql, terraform, sqlalchemy, azure, docker, power bi, google cloud, paas, mssql, jupyter notebook, aws redshift, shell scripts, scipy, hadoop, aws kinesis, apache kafka, apache hadoop, python, apache cassandra, cloud sql, github, sql serveranalysisservices, time series, ibm softlayer, html, ms sql server, ebs, progress, mongodb, apache airflow, scala, ms access, aws ebs, .net, aws lambda, aws ec2, db2, hbase, sql server, r, oracle cloud, pyspark, ansible, windows azure, mysql, aws rds, statistics, aws, java, c, spotfire, apache hive, aws step functions, azure sql, t-sql microsoft, windows, puppet, aws s3 |
Designed a financial product recommender solution and an ETL pipeline developed with Scala and Kubernetes. It created a rank list of the products customers of a Chilean bank could buy to maximize financial product selling. | 0Data Engineer
| numpy, kafka, aws cli, hive, javascript, kubernetes, looker, git, compose, powerbi, gcp, data modeling, angular, jupyter, datadog, sql, dynamodb, kibana, sap, tensorflow, flink, postgresql, terraform, azure, docker, matplotlib, asana, sqlserver, swagger, opencv, databricks, jupyter notebook, aws redshift, vault, scikit-learn, shell scripts, scipy, grafana, gis, pytest, hadoop, delta lake, zookeeper, snowplow, junit, docker compose, apache spark, tableau, confluence, apache kafka, databases, pandas, spark, apache hadoop, python, github, gitlab, ml frameworks, html, mongodb, apache airflow, apache flink, scala, postgis, elasticsearch, visualization, .net, mlflow, talend, aws ec2, trello, go, xgboost, zeppelin, great expectations, pyspark, mysql, aws, java, apache hive, azure sql, redis, airflow, restapi, aws s3, data, jira, beautiful soup, leadership, computer vision, react |
Designed and implemented a data-processing pipeline to centralize the generation of all reports and data feeds for dashboards of the analytics team. | 2Data Scientist
| other |
Researched and developed data analysis models through advanced artificial intelligence techniques and created new predictive models. | 4Software Engineer
| pytorch, teacher course ceimtun group, worked on a sports predictions project., javascript, developed systems and applications to improve the control and efficiency of processes within the company. used visual basic as the main programming language., junior software developer, kubernetes, git, js, platform for the creation of advanced ai challenges, deep learning specialization, aws emr, quantum leap data jan 2017, sentimental analysis, a neural networks framework based on jax inspired by keras and haiku., keras, worked on a virtual car autonomous driving project., platform for the development of engineers by improving their skills, nosql, a large-scale diverse english speech recognition dataset for commercial usage, sql, elegy, gecko systems jan 2018, bsc, tensorflow, augmented reality, postgresql, publicationsthe peoples, docker, mongodb., developed and produced systems that allowed the optimization and scaling of different processes within the company using machine learning, decision making, researched and developed data analysis models through advanced artificial intelligence techniques and created new predictive models., emphasis on nlp models, solidity, aws redshift, generated optimizations that made a significant impact on revenue., petroleum engineer, lsh methods for data deduplication in a wikipedia artificial dataset., benchmarks for data-centric ai development, winner of the award for one of the best theses of the year 2022., apache spark, adversarial, databases, pandas, react advanced, creation of web pages for the exposition of datasets. speaker at machine learning group meetup, spark, etc., python, gcp., github, collaborator at the open-source elegy project, githubdeveloped a platform for engineers skills improvements, jax, question answering, ml frameworks, national university, mongodb, nextjs full course, vba, tensorflowjs, artificial intelligence, managing their information, speaker at national university, visualization, expertise in the development of interactive applications, go, speaker at software conference, next., streamlit, creation of software applications to deploy ai models for real-world applications, software, natural language processing -nlp- specialization, nlp, aws aurora, typescript., writer in towards artificial intelligence, data science specialization, deep learning, a data-centric challenge for improving the safety of text-to-image models, visual basic, and more., aws solutions architect, nlp platform with text summarization, mysql, education, multilingual spoken words corpus, aws, premex jan 2019, apache hive, as well as pix2pix painting images and transfer style., typescript, looked and implemented techniques with python to support decision making based on data. generated added value to these companies., applied data science with python, developed innovative web application projects for the construction sector., iubh, certifications, and certifications management, data, sentiment analysis project on nlp., generative images with gans, researched, computer vision, react |
Developed a demo using Spark jobs, Ganglia, Spark UI and DataDog, with observability of the processes inside Databricks, to enable cluster monitoring and optimization. | 0Data Engineer
| talenddataprep, apache spark, kafka, redshift, oracle, tableau, apache kafka, universidad de san buenaventura, pandas, talendetltool, scrum master certified, cloud sql, python, talend data integration certified, vmware, powerbi, sql serveranalysisservices, gcp, data modeling, time series, scrum developer certified, mechatronic engineering, lambda functions, azure data factory, snowflake, aws glue, seaborn, datadog, azure blob storagebsc, hyper v, scala, sql, talendcloud, schema registry, aws lambda, data lineage, sap, sql serverintegrationservices, tensorflow, sql servermanagementstudio, azure time series insights, ssrs., sql server, provisioning sql databases, postgresql, azure functions, azure, matlab, azure synapse, pyspark, docker, talendstudio on-premise cloud, matplotlib, saas, data management and analytics, mysql, databricks solutions architect essentials, aws, azure sql, databricks, influxdb, mssql, master data management, administering a microsoft sql database infrastructure, aws redshift, scikit learn, data management, scikit-learn, aws s3, data, grafana, perform cloud data science with azure machine learning |
Ensured the correct functionality of servers by using infrastructure as code tools such as TerraformAnsible and using Linux resources such as nftablessystemctl | 1Data Analyst
| other |
Developed and deployed endpoints for machine learning, LLM and NLP classification projects using large structured and unstructured data sets using ML technologies like Python, Scikit-Learn, Nltk, Tensorflow, GPT, BERT, databases such as MongoDB and SQL Server, and frameworks and tools like Azure ML, K8s, Docker and Git. Rules-based projects using regular expressions are also included. Average F1 score reached for each project was between 70-90%, depending on the project complexity and Product department. A custom agile framework was used including Scrum, Kanban and Azure DevOps. For an automotive industry company. | 2Data Scientist
| pytorch, web scraping, qlikview, numpy, apache spark, c#, oracle, rest api, data warehouse, sas, pandas, databases, regex, mlops, agile, javascript, apache hadoop, python, git, llm, powerbi, pentaho, gcp, nltk, time series, ml frameworks, yarn, etl, jupyter., mongodb, seaborn, kanban, nosql, sql, azure ml studio, aws sagemaker, visualization, data stage, tensorflow, xgboost, advanced ml, sql server, r, nlp, sql server integration services, azure, docker, microsoft excel, microstrategy, bert, azure devops, fasttext, plotly, aws, toad, azure sql, sagemaker, scikit-learn, data, beautiful soup, hadoop, scrum, sckit-learn |
Analyzed historical sales data, customer service engagement, and telemetry data of Cisco clients prior to account renewal and developed data reports to support upselling efforts of Cisco sales teams. | 1Data Analyst
| sap, tableau, oracle, oracle cloud, dax, postgresql, cloud sql, power bi, microsoft excel, powerbi, mysql, alteryx, snowflake, vba, dbt, excel, planning, sql, data |
Helped migrate and clean the applications UI from AngularJS to Angular 2, while migrating the code from JavaScript to TypeScript as well. | 4Software Engineer
| pytorch, numpy, apache activemq, apache spark, oracle, rest api, databases, pandas, spark, jenkins, javascript, comet, kubernetes, apache cassandra, python, aws emr, angular, ml frameworks, snowflake, seaborn, spring, sql, kerasturner, elasticsearch, visualization, django, kerastuner, bokeh, tensorflow, nlp, azure, docker, matplotlib, hibernate orm, decision making, mysql, linux, java, aws, oracle database, typescript, azure sql, jupyter notebook, triton, scikit-learn, aws sqs, redis, aws s3, data, scikit learn |
Optimized queries and stored procedures using SQL and SQL Server Integration Services minimizing the execution time of data pipelines by 60% within the dedicated team for high-net-worth clients in the top-performing bank in Peru. | 0Data Engineer
| numpy, apache spark, c#, rest api, azure service bus, azure kubernetes service, databases, pandas, swift, azure blob storage, javascript, aws batch, kubernetes, microsoft office, python, git, github, gcp, aws athena, ml frameworks, matillion, azure data factory, snowflake, aws glue, apache airflow, splunk, sql, aws eventbridge, visualization, metabase, octopus, aws ec2, aws lambda, go, amazon s3, sql server, teamcity, azure api management, nlp, postgresql, aws sns, terraform, azure, pyspark, docker, aws ecs, decision making, mysql, aws, c, aws ecr, aws step functions, azure sql, databricks, dbt, aws sqs, asp.net, google cloud functions, airflow, aws s3, data, grafana, beautiful soup, github actions, sql server database, azure data lake |
Supported data preparation in an Azure and GCP environment using Databricks, improving data quality and accessibility for the data engineering team. | 0Data Engineer
| apache spark, kafka, hdfs, tableau, apache kafka, confluence, bitbucket, pandas, databases, spark, jenkins, hive, apache hadoop, python, git, powerbi, pentaho, github, gcp, aws emr, azure data factory, mongodb, apache airflow, apache impala, scala, sql, visualization, neo4j, sap, ibm, tensorflow, hbase, sql server, bash, postgresql, collaboration, sql server integration services, terraform, azure, pyspark, power bi, cloudera, decision making, mysql, linux, aws, apache hive, accountability, azure sql, databricks, aws redshift, data management, dbt, azure cosmos, impala, airflow, rpa, data, jira, hadoop, azure data lake |
Facilitated Big Data, machine learning, data engineering, and software development training. | 5Analytics Engineer
| numpy, apache spark, teradata, oracle, hdfs, bitbucket, pandas, databases, qlik, spark, hive, kubernetes, apache hadoop, python, git, powerbi, github, gcp, time series, gitlab, ml frameworks, mongodb, apache airflow, sql, elasticsearch, visualization, mlflow, metabase, aws ec2, db2, tensorflow, sql server, postgresql, scrapy, azure, azure synapse, docker, sqlserver, mysql, linux, statistics, aws, sqlite, apache hive, azure sql, databricks, jupyter notebook, sagemaker, scikit-learn, dbt, shell scripts, flask, airflow, data, hadoop, delta lake |
Redesigned legacy Spark jobs into new projects, delivering an easier-to-maintain codebase, improving observability, faster runtimes, and integration with CICD pipelines. | 0Data Engineer
| oracle, bitbucket, dataflow, circleci, jenkins, javascript, gcp, confluent schema registry, flyway, aws emr, aws athena, aws glue, datadog, planning, testcontainers, bigquery, sql, spring framework, django, sap, ibm, google cloud storage, kinesis, gcp dataflow, postgresql, docker, design patterns, decision making, fastapi, jquery, databricks, sns, kotlin, aws redshift, gcs, oracle db, aws sqs, s3, pytest, github actions, hadoop, aws kinesis, sap erp, aws neptune, junit 5, msk, apache spark, tableau, rest api, apache kafka, databases, pandas, apache cassandra, python, apache hadoop, structured streaming, data engineering, github, rds, apache airflow, spring, scala, sqs, elasticsearch, visualization, spark structured streaming, airbyte, aws ec2, go, aws sns, collaboration, pyspark, cassandra, mysql, aws rds, java, aws, apache beam, dbt, aws msk, kotest, redis, airflow, aws s3, redshift |
Developed ingestion and transformation routines using Python under Apache Airflow WHAT WAS THE BUSINESS OUTCOME? FOR WHAT AREAPROJECT? | 0Data Engineer
| db2, sap, c#, oracle, databases, bootstrap, css, javascript, python, docker, oracle warehouse builder, wpf, pentaho, microstrategy, sap business warehouse, java, aws, ml frameworks, node.js, snowflake, aws redshift, asp.net, apache airflow, dbt, wcf, planning, airflow, sql, data, visualization, .net, aws lambda |
Conducted data modeling and analysis to design efficient and scalable database structures. | 0Data Engineer
| other |
bureaucracy and other key aspects to improve government efficiency. | 4Software Engineer
| decrease, data in a very intense batch job., apache spark, kafka, oracle, rest api, apache kafka, kubeflow, i was asked to design and build tools to improve citizens relationship, databases, with government, performance, spark, jenkins, javascript, bureaucracy and other key aspects to improve government efficiency., kubernetes, microsoft office, writing applications with a good design to be delivered continuously and follow deployment status to other teams, python, software engineer, using java related technologies, senior software engineer, my tasks were related to deliver solutions that would help, my main tasks were, gitlab, ml frameworks, programs to decrease debts, software architecture, people across the state., snowflake, applying multithreading techniques, pulsar, apache airflow, applying best practices and selecting tools that help developing and delivering applications in a fast-paced and reliable way.
programming, softtek jan 2012, scala, acting mainly as an integration architect inside one of the great retailers on brazil, resource it solutions jan 2013, visualization, mlflow, metabase, sigma, go, working for a state sponsored company, magna sistemas sep 2013, postgresql, the team were able to almost double the throughput of processed, azure, delivered solutions to support a large number of accesses by users worldwide, using an agile methodology and java for a large financial company., process and transform external data delivered by third-party providers into useful, mysql, golang, java, aws, data inside the customer. the main project was maintain a home made solution to integrate hr data, that later was replaced by a solution designed on oracle odi. ive participated designing the solution, applied tdd and architecture knowledge to increase code coverage, testing and fixing errors on odi scripts., deliver information, dbt, increase transparency, tech mahindra may 2014, redash, with a high availability and secure architecture is my current focus, airflow, aws s3, data, s3, related to receive, seldon |
Developed and deployed a CatBoost classification model for 3 months-financial default. Implemented debt installments rearrangements and other preventive action, increasing revenue by 2%. | 2Data Scientist
| pytorch, numpy, tableau, pandas, dataflow, javascript, cloud sql, python, gcp, time series, ml frameworks, seaborn, google vertex ai, bigquery, sql, shap, visualization, c++, postgres, tensorflow, xgboost, r, vertex ai, bash, postgresql, perl, crisp-dm, matlab, fastai, matplotlib, linux, plotly, statistics, aws, jupyter notebook, aws redshift, scikit-learn, dash, data, redshift, computer vision |
Created local Kubernetes and Kafka clusters, as well as a development environment. | 0Data Engineer
| apache spark, sql server, apache kafka, dataflow, centos, postgresql, jenkins, azure, kubernetes, apache cassandra, python, apache hadoop, cassandra, data modeling, aws emr, mysql, datastax, aws, cql, tidb, azure sql, databricks, dagster, apache airflow, azure sq, apache flink, scala, sql, data, azure cosmosdb, hadoop, metabase |
Utilized HTML, CSS, and JavaScript to design intuitive and user-friendly frontend components, improving the overall platform usability and catering to the specific needs of renters and property owners alike. | 6Full-Stack Engineer
| graphql, databases, dataflow, vue.js, bootstrap, postgresql, css, javascript, heroku, sql serveranalysisservices, programming, mysql, aws, twilio, html, angular.js, react, haml, ruby on rails, sql, laravel, data, dynamodb, sinatra, rspec, ruby, aws lambda |
Worked as a major contributor (50%) of a data infrastructure project to crawl and analyze job descriptions from different APIs to gather insights about market trends regarding AI roles, using Apache Airflow as the orchestrator and AWS S3 as the data storage tool. | 3Machine Learning Engineer
| aws ec2, yolov4, numpy, tensorflow, google cloud storage, xgboost, pandas, nlp, postgresql, labview, python, docker, git, aws ecs, gcp storage, gcp, huggingface, tensorflow 2.0, fastapi, catboost, statistics, aws, ml frameworks, aws ecr, visual, node.js, nodejs, scikit-learn, aws sqs, apache airflow, keras, flask, aws s3, sql, data |
Proposed and implemented machine learning time series prediction model using Python and Tensorflow as POC’s for a gas and oil company. | 0Data Engineer
| talenddataprep, apache spark, kafka, redshift, oracle, tableau, apache kafka, universidad de san buenaventura, pandas, talendetltool, scrum master certified, cloud sql, python, talend data integration certified, vmware, powerbi, sql serveranalysisservices, gcp, data modeling, time series, scrum developer certified, mechatronic engineering, lambda functions, azure data factory, snowflake, aws glue, seaborn, datadog, azure blob storagebsc, hyper v, scala, sql, talendcloud, schema registry, aws lambda, data lineage, sap, sql serverintegrationservices, tensorflow, sql servermanagementstudio, azure time series insights, ssrs., sql server, provisioning sql databases, postgresql, azure functions, azure, matlab, azure synapse, pyspark, docker, talendstudio on-premise cloud, matplotlib, saas, data management and analytics, mysql, databricks solutions architect essentials, aws, azure sql, databricks, influxdb, mssql, master data management, administering a microsoft sql database infrastructure, aws redshift, scikit learn, data management, scikit-learn, aws s3, data, grafana, perform cloud data science with azure machine learning |
Automated manual processes like generating environmental vehicle restrictions for Bogotá which is part of map content used in logistics, it needs more than 26 000 records to represent 1 year of restrictions. | 1Data Analyst
| other |
Implemented REST API in API Gateway to service backend processes such as retrieving information from customers, cards, accounts, and transactions, using JSON. | 0Data Engineer
| apache spark, teradata, c#, jupyter notebooks, rest api, pandas, qlik, python, powerbi, gcp storage, github, gcp, azure data factory, redhat, mongodb, gcp bigquery data, scala, sql, aws api gateway, dynamodb, aws lambda, google dataproc, aws dynamodb, ibm, google cloud storage, sql server, r, great expectations, azure, pyspark, docker, power bi, decision making, mysql, aws, java, azure sql, databricks, jupyter notebook, data management, flask, aws s3 |
Implemented ETL pipelines using Python pipelines deployed on Azure functions to receive time series data into Azure Cloud, used Spark and Databricks for data processing and enrichment. | 0Data Engineer
| talenddataprep, apache spark, kafka, redshift, oracle, tableau, apache kafka, universidad de san buenaventura, pandas, talendetltool, scrum master certified, cloud sql, python, talend data integration certified, vmware, powerbi, sql serveranalysisservices, gcp, data modeling, time series, scrum developer certified, mechatronic engineering, lambda functions, azure data factory, snowflake, aws glue, seaborn, datadog, azure blob storagebsc, hyper v, scala, sql, talendcloud, schema registry, aws lambda, data lineage, sap, sql serverintegrationservices, tensorflow, sql servermanagementstudio, azure time series insights, ssrs., sql server, provisioning sql databases, postgresql, azure functions, azure, matlab, azure synapse, pyspark, docker, talendstudio on-premise cloud, matplotlib, saas, data management and analytics, mysql, databricks solutions architect essentials, aws, azure sql, databricks, influxdb, mssql, master data management, administering a microsoft sql database infrastructure, aws redshift, scikit learn, data management, scikit-learn, aws s3, data, grafana, perform cloud data science with azure machine learning |
Developed new data collection, analysis, and reporting tools by levering the use of Python, which led to significantly streamlined data-related processes, enabling efficient data collection, comprehensive analysis, and visually appealing reporting. | 5Analytics Engineer
| pydantic, ibm, apache spark, google cloud storage, tableau, r, databases, pandas, postgresql, sqlalchemy, pyspark, python, git, docker, powerbi, data modeling, decision making, rds, aws rds, fastapi, aws, ml frameworks, databricks, snowflake, datadog, scikit-learn, dbt, apache airflow, airflow, scala, sql, aws s3, data, visualization |
Implemented, documented and administered code for delivering ShinyR data interfaces to data visualization customers. | 2Data Scientist
| oracle, tableau, sf, python, shiny, aws athena, oracle rdbms, vba, aws glue, apache airflowvisualization, qgis, mysql aws dynamodb, sql, aws api gateway, dynamodb, prioritization, aws lambda, aws ec2, domo, r, bash, postgresql, scrapy, terraform, pyspark, docker, aws ecs, aws iam, mysql, aws rds, statistics, aws, aws ecr, aws redshift, dbt, gdal, aws s3, dash, data, serverless |
Used AWS S3 and Glue to build a layered data lake. | 0Data Engineer
| pytorch, networkx, numpy, apache spark, pandas, javascript, python, git, github, data modeling, snowflake, aws glue, seaborn, apache airflow, splunk, sql, postgis, gatsby, dynamodb, c++, django, aws lambda, aws ec2, aws dynamodb, xgboost, bash, postgresql, aws sns, terraform, docker, microsoft excel, matplotlib, aws rds, fastapi, statistics, aws, aws step functions, aws redshift, mariadb, scikit-learn, dbt, flask, aws s3, data, github actions, aws kinesis, react |
Performed exploratory data analysis - EDA on BigQuery over 7 tables with over 40 million rows to determine data relations, data traceability over the data generation process and address data inconsistency (no documentation nor a definition of relational database schema was previously available). Analyzed descriptive transactional behavior across business processes to determine and give recommendations to decrease transactional churn rates through the business cycle. Data and results were stored in Google Cloud Storage. | 2Data Scientist
| pytorch, gcp ml tools, lightgbm, tensorflow, google cloud storage, xgboost, tableau, oracle, r, streamlit, sas, nlp, postgresql, apache hadoop, python, git, docker, gcp, decision making, amazon redshift, mysql, fastapi, statistics, aws, html, node.js, aws redshift, vertexai, stata, scikit-learn, keras, apache impala, bigquery, sql, shap, data, hadoop, pytorch lightning |
Enabled operational efficiency in repetitive activities that consumed energy and time using Robotic Process Automation (RPA) tools, reducing task completion time for business area members of the Brazilian bank. | 0Data Engineer
| apache spark, kafka, hdfs, tableau, apache kafka, confluence, bitbucket, pandas, databases, spark, jenkins, hive, apache hadoop, python, git, powerbi, pentaho, github, gcp, aws emr, azure data factory, mongodb, apache airflow, apache impala, scala, sql, visualization, neo4j, sap, ibm, tensorflow, hbase, sql server, bash, postgresql, collaboration, sql server integration services, terraform, azure, pyspark, power bi, cloudera, decision making, mysql, linux, aws, apache hive, accountability, azure sql, databricks, aws redshift, data management, dbt, azure cosmos, impala, airflow, rpa, data, jira, hadoop, azure data lake |
Consumed and transformed streaming data to produce aggregated statistics, store data and create real-time dashboards using Python, AWS Kinesis, AWS S3 and Splunk. | 0Data Engineer
| apache spark, databases, javascript, azurevisualization, python, powerbi, github, gcp, snowflake, aws glue, apache airflow, sql, dynamodb, rivery, aws lambda, aws ec2, aws dynamodb, tensorflow, sql server, streamlit, postgresql, aws sns, terraform, azure, docker, power bi, microsoft excel, aws rds, statistics, aws, aws step functions, azure sql, databricks, aws redshift, snowflakedata, dbt, aws s3, github actions, aws kinesis |
Technologies used: Twisted, Flask, Pandas, bokeh for visualization, MongoDB, Jenkins for continuous integration, TDD, Python unittest. | 1Data Analyst
| apache spark.visualization, bokeh, lightgbm, tensorflow, pandas, twisted., postgresql, jenkins, twisted, apache cassandra, python, git, docker, aws ecs, github, amazon redshift, and javascript.databases, fastapi, aws, ml frameworks, mongodb.data, mongodb, aws redshift, scikit-learn, apache airflow, flask, c++, github actions, mlflow, computer vision |
Managed project reports and quality indicators (KPIs), providing critical performance insights for project stakeholders and facilitating data-driven decision-making. | 0Data Engineer
| apache spark, kafka, hdfs, tableau, apache kafka, confluence, bitbucket, pandas, databases, spark, jenkins, hive, apache hadoop, python, git, powerbi, pentaho, github, gcp, aws emr, azure data factory, mongodb, apache airflow, apache impala, scala, sql, visualization, neo4j, sap, ibm, tensorflow, hbase, sql server, bash, postgresql, collaboration, sql server integration services, terraform, azure, pyspark, power bi, cloudera, decision making, mysql, linux, aws, apache hive, accountability, azure sql, databricks, aws redshift, data management, dbt, azure cosmos, impala, airflow, rpa, data, jira, hadoop, azure data lake |
Led the design and development of the companys first chatbot engine for real time inference in English, Spanish and Portuguese languages using Numpy, NLTK, sklearn, Pyrorch, TFX, DVC, Docker, AWS Cloudformation AWS Sagemaker, AWS DynamoDB, and Word2vec, BERT, GPT-3.5 or 4. The platform included service integrations to provide dynamic responses and a customizable reporting tool for clients. Achieved a client satisfaction rate of 89%, and obtained a 93% of effectively resolved user requests. | 2Data Scientist
| awsfargate, pytorch, api gateway, informix, numpy, aws cloudformation, oracle, disvoice, folium, pandas, lambda, javascript, huggingface transformers, python, imb informix, librosa, git, gcp, aws speech api, selenium, huggingface, nltk, angular, librosa disvoice, ml frameworks, linux bash, tfx, node.js, sphinx, mongodb, aws glue, dvc, seaborn, nodejs, spring, bigquery, sql, aws api gateway, aws sagemaker, dynamodb, visualization, postgres, django, spring boot, aws ec2, aws dynamodb, ibm, tensorflow, google vertexai, microsoft word, bash, nlp, postgresql, aws aurora, terraform, pyspark, docker, matplotlib, mysql, fastapi, linux, plotly, java, aws, opencv, geoplotlib, sagemaker, scikit-learn, flask, aws s3, scipy, data, pytest, leadership, react |
Developed microservices using Java with Spring Boot and Node.JS with Express to facilitate data ingestion and access in a data lake for a multinational retail company. | 0Data Engineer
| apache spark, kafka, c#, oracle, hdfs, apache kafka, databases, bootstrap, spark, prolog, css, javascript, grpc, kubernetes, apache cassandra, python, gcp, aws emr, ml frameworks, html, node.js, snowflake, mongodb, aws glue, nodejs, apache airflow, erlang, spring, apache flink, ruby on rails, scala, sql, dynamodb, c++, .net, angularjs, aws lambda, go, flink, sql server, r, postgresql, azure, pyspark, docker, microsoft excel, cassandra, decision making, protocol buffers, mysql, aws, java, jquery, typescript, azure sql, scheme, aws redshift, dbt, asp.net, azure cosmos, airflow, data, antlr, ruby, react |
Built ETL models in Python to process and reconcile thousands of invoices in XML format and unify them in structured tables saving time and effort in reconciliation activities. | 1Data Analyst
| spacy, python and power query helping to reduce processing times and providing quality in data visualizations., powerquery, and integrated a data model for the companys general budget using google sheets leveraging cloud functions and dataset connections., microsoft office, looker, powerbi, supported the implementation of the erp of the company with data transformation and data migration using excel and vba macros achieving to pass from 5 different systems to an unique enterprise system., neural networks, algorithms, azure data factory, snowflake, financial analyst, tableau desktop, nosql, urbanas, sql, provided indicators to the sales force through specialized reports using looker studio and sac for daily operations monitoring., transformed data and created models for analysis with tools such as sql, foundations, sap, finance, finance., and strategy for decision-making of a micro-financial organization achieving to create important products such as bonus calculation tool, advanced, postgresql, azure, machine learning, power bi, microsoft excel, decision making, databricks data analyst associate certification, and presented dashboards to the executive team., performed financial analysis and supported business cases for initiatives and new projects., led the business intelligence team and created, databricks, created and managed sales and financial forecasting tools., to generate findings in satisfaction surveys for the customer journey team., hr, supported, created specialized tools in excel and vba macros to support daily operations in different company departments such as cost, among other things., specialization, tableau, developed an etl workflow using python, managed, pandas, business administration, customer journey analytical tool, process analyst, cloud sql, fundación de la mujer, python, sac, applied machine, sap analytics cloud, leveraging api data extraction and text processing libraries, looker studio, vba, pandasvisualization, artificial intelligence, implemented reports for strategic analysis and monitoring kpis using business objects and looker studio., bi lead, google sheets, built operational dashboards using power bi leveraging on report tables and trend charts to provide the status and details of all the orders to the purchase department, santander university, intermediate level, python databases, sql server, nlp, created, education, marketing, azure sql, human resources, budget tracking and forecasting tools for each branch office and management team, dbt, data, implemented an etl pipeline using azure data factory, created interactive dashboard for a project using databricks leveraging on data transformation to gain some insights into the purchasing behavior of a households dataset, basic aspects, leveraging azure storage to create report tables for analysis from raw data. |
Designed, developed and maintained a data portal for a grains and goods producer and exporter, using .Net, SQLServer, HTML and SAP to provide custom data visualizations and data importing features. | 6Full-Stack Engineer
| numpy, kafka, aws cli, hive, javascript, kubernetes, looker, git, compose, powerbi, gcp, data modeling, angular, jupyter, datadog, sql, dynamodb, kibana, sap, tensorflow, flink, postgresql, terraform, azure, docker, matplotlib, asana, sqlserver, swagger, opencv, databricks, jupyter notebook, aws redshift, vault, scikit-learn, shell scripts, scipy, grafana, gis, pytest, hadoop, delta lake, zookeeper, snowplow, junit, docker compose, apache spark, tableau, confluence, apache kafka, databases, pandas, spark, apache hadoop, python, github, gitlab, ml frameworks, html, mongodb, apache airflow, apache flink, scala, postgis, elasticsearch, visualization, .net, mlflow, talend, aws ec2, trello, go, xgboost, zeppelin, great expectations, pyspark, mysql, aws, java, apache hive, azure sql, redis, airflow, restapi, aws s3, data, jira, beautiful soup, leadership, computer vision, react |
Integrated third-party services like Redox to support health data exchange formats (HL7, FHIR, JSON) of EHR data from several EMR systems. | 0Data Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Developed the product-tree selection component for creating offer campaigns in a platform for retail companies using AWS, Vue.js, Python, Flask, Node.js, GraphQL, and Go.It enabled the dynamic selection of items and sub-items to easily compound offers campaigns. | 6Full-Stack Engineer
| other |
Contributed to an open source project that is currently under review | 4Software Engineer
| pytorch, go, numpy, qt qml, packer, databases, postgresql, javascript, terraform, azure, python, git, docker, selenium, golang, aws, slam toolbox, mongodb, datadog, scikit-learn, planning, ros2, data, visualization, c++, kibanaml frameworks, kibana |
Developed different data squad creation, data lakes and data warehouses, data marts architecture, and data pipelines for a brazilian fintech. | 0Data Engineer
| apache spark, kafka, oracle, tableau, apache kafka, databases, pandas, spark, kubernetes, apache cassandra, python, apache hadoop, git, powerbi, pentaho, gcp, aws emr, aws athena, ml frameworks, snowflake, mongodb, aws glue, apache airflow, scala, sql, elasticsearch, dynamodb, visualization, talend, aws cdk, neo4j, aws ec2, aws lambda, sap, google bigquery, sql server, r, postgresql, terraform, azure, docker, governance policies, cassandra, decision making, mysql, linux, java, aws, aws ecr, azure sql, aws redshift, mariadb, sagemaker, data management, redis, aws s3, data, hadoop |
Developed a Databricks workflow including Notebooks, SQL scripts and Databricks Dashboard to implement data driven geospatial site selection decision making for a grocery store chain. | 1Data Analyst
| netezza, teradata, apache spark, tableau, ml frameworks and, folium, geospatial analysis, databases, sql and r., postgresql, microsoft office, python, arcgis storymaps, microsoft excel, arcgis webapp builder, decision making, programming, apache sedona, esda, aws, ml frameworks, geopandas, databricks, leadership, arcgis dashboards, aws redshift, prince, scikit learn, arcgis pro, scikit-learn, geospatial, arcgis and qgis., qgis, sql, postgis, scipy, data, visualization, prioritization, redshift, pysal |
Deployed a CICD pipeline and infrastructure with multiple environments using Github Actions, Docker and AWS (Lambda, ECS, ECR, Secrets) to improve poduct developing and production workflow. | 3Machine Learning Engineer
| pytorch, numpy, apache spark, jupyter notebooks, c#, solid edge, aws s3data, pandas, labview, python, git, github, huggingface, nltk, platformio, 3d printing, aws ecs, annoy, apache airflow, planning, aws eventbridge, shap, c++, .net, mlflow, pytorch lightning, aws lambda, aws ec2, aws fargate, tensorflow, xgboost, streamlit, nlp, optuna, postgresql, aws sns, pythondatabases, docker, kicad, aws ecs, latex, mysql, awsml frameworks, fastapi, aws, aws ecr, raspberry pi, databricks, jupyter notebook, aws redshift, imagej, scikit-learn, aws s3, scipy, github actions, computer vision |
Coordinated the annotation effort for tens of thousands of images and videos using LabelStudio to produce high-quality datasets for object detection, person ReID, and object tracking. Collaborated closely with the LabelStudio Enterprise customer service team and a team of annotators, providing them with labeling instructions to produce high-quality datasets. | 3Machine Learning Engineer
| pytorch, docker compose, numpy, tableau, rest api, databases, pandas, css, javascript, python, librosa, git, compose, github, tfjs, ml frameworks, html, tfx, node.js, mongodb, tf serving, dvc, tensorflowjs, nodejs, apache airflow, keras, tensorflow serving, sql, c++, mlflow, postgres, aws lambda, aws ec2, tensorflow, r, ownership, nlp, postgresql, scrapy, collaboration, terraform, sqlalchemy, docker, aws ecs, aws vpc, mysql, fastapi, plotly, statistics, aws, numpyvisualization, opencv, autogluon, kotlin, scikit-learn, airflow, aws s3, dash, data, pytest, github actions, computer vision, react |
Developed end-to-end housing recommender systems using Python, GeoPandas, scikit-learn, Numpy, Terraform and AWS LambdaFargate, leveraging content-based filtering and unsupervised learning to simplify the home finding process for a leading employee relocation company. The recommender system delivered personalized neighborhood recommendations on little to none interactions based on the transferees profile, allowing a reduction in home finding time and drastically increasing user engagement with the companys app. | 2Data Scientist
| api gateway, numpy, generated automatic visualizations and reports using plotly, performed geospatial analysis on time dependent data using numpy, eafit university, developed a loan default prediction model using xgboost and catboost models, deep learning specialization, aws emr, and geopandas., seaborn, data and deployment specialization, pinecone, keras, langchain, sql, bsc, tensorflow, microsoft word, geospatial analysis, postgresql, data engineer nanodegree, engineering science, research consultant, terraform, matlab, docker, aws ecs, matplotlib, and serving the explained predictions through a dockerized api., fastapi, catboost, golang, applying an explainability framework, consulting analyst, north university oct 2020, aws redshift, scikit-learn, stack overflow questions, s3, which allowed for real-time predictions., github actions, eafit university march 2020, databases, labview, aws ecr, created data-driven models describing the space-time connections of a public water supply system., python, implemented etl pipelines for data ingestion pulling data from row formats and a data lake., github, matplotlib., ml frameworks, analyzed the activity patterns of a nationwide online course and its correlation with students grades., mongodb, using fine tuned distilbert and roberta transformer architectures., apache airflow, qdrant, mechanical engineering, visualization, mlflow, provided feedback on the course content and its impact on students performance., llms, githubdeveloped and deployed an end to end nlp assistant that helps users write better questions in online forums e.g., aws lambda, aws ec2, aws fargate, go, domo, xgboost, transformers, streamlit, bash, nlp, scrapy, created two one-stage object detectors using both the yolov4 model and retinanet fpn. these models were served through a dockerized api deployed in aws ecs, mysql, education, plotly, aws, aws ecr, redis, airflow, aws s3, data, scikit learn, computer vision |
Developed a Spark Streaming asynchronous monitoring system using Kafka, and Spark listeners, to improve the operational processes for one of the biggest health providers in the US. | 3Machine Learning Engineer
| hyperopt, cloudformation, pytorch, numpy, apache spark, aws cloudformation, kafka, apache kafka, databases, pandas, spark, hive, aws batch, apache cassandra, python, apache hadoop, git, aws emr, aws athena, time series, spark streaming, prestosql, mongodb, aws glue, dvc, seaborn, apache airflow, scala, vuejs, dynamodb, c++, mlflow, aws lambda, aws ec2, go, tensorflow, ml tools, streamlit, bash, kinesis, postgresql, facebook prophet, cubejs, sqlalchemy, docker, aws ecs, matplotlib, mysql, aws rds, fastapi, plotly, statistics, aws, apache hive, databricks, aws redshift, snowflakedata, scikit-learn, airflow, and, aws s3, dash, presto, data, hadoop, aws kinesis, react |