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Replicated Kafka production cluster with 180ms of sync time in a geographically different region for disaster recovery scenarios by using Kafka Mirrormaker and managing AWSHuawei clouds | 1Data Analyst
| other |
Revamped and enhanced multiple ML projects and related tools to optimize scalability, monitoring, computational performance, code quality, and code readability. Employed best practices and leveraged tools such as Polars and Spark on AWS SageMaker to effectively manage the expansion of data sets in a distributed manner as the debt portfolio scaled in the fintech and banking startup. | 2Data Scientist
| pytorch, numpy, beautifulsoup, javascript, kubernetes, git, pycaret, gcp, selenium, aws athena, dbeaver, jupyter, prestosql, seaborn, qgis, keras, planning, sql, c++, tensorflow, google cloud storage, dask, postgresql, docker, matplotlib, latex, rstudio, fastapi, google cloud, databricks, jupyter notebook, aws redshift, firebase, scikit-learn, rust, scipy, pytest, github actions, lightgbm, apache spark, databases, pandas, julia, spark, python, github, nltk, time series, gitlab, ml frameworks, mongodb, apache airflow, aws api gateway, visualization, mlflow, aws lambda, aws ec2, pydantic, xgboost, google bigquery, svelte, r, nlp, aws aurora, pyspark, mysql, plotly, java, aws, aws ecr, duckdb, sagemaker, ggplot2, firestore, flask, redis, airflow, aws s3, presto, data, jira, beautiful soup, react |
Led projects of two main areas: Actuarial Sciences and Analytics. | 4Software Engineer
| cloudformation, pytorch, aws cloudformation, relational dbs, socket.io, mssql and, javascript, shapely, git, powerbi, selenium, aws emr, cloud, azure data factory, node.js, aws glue, glue, qgis, nosql, sql, dynamodb, athena., azure sql datawarehouse, vpcs. microsoft azure., django, socket io, geoanalytics, backend, postgresql, azure devops., azure, azure synapse, docker, power bi, aws ecs, metabase., spectrum, databricks, mssql, aws redshift, aws stack, html., aws sqs, databricks sql, delta lake, apache spark, tableau, databases, pandas, spark, cloud sql, python, programming, html, big data processing, scala, postgis, visualization, metabase, aws lambda, aws ec2, esp. lambda, go, google bigquery, r, flask., h3, azure devops, mysql, aws rds, apache sedona, java, aws, c, azure sql, dbt, ms sql, flask, aws s3, rpa, data, redshift |
Led reports standardization and migration from Excel, Power Bi and Qlick to to improve business processes and analytics. Designed queries using SQL, constructed ETL flows using Prep Builder, created calculated fields and managed sites and users using . | 1Data Analyst
| microsoft visio, sap, qlikview, ibm, r, rpa tools, statgraphics, powerquery, visio, qlik, dax, power pivot, python, minitab, microsoft excel, powerbi, decision making, data modeling, minitab power bi, alteryx, c, power query, data studio, snowflake, vba, excel, planning, powerpivot, sql, rpa, data, prepbuilder, visualization, sap erp, dax syntax |
Blueprinted a Python virtual wallet project for traineesjuniors joining the company. | 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 |
Created analytics processes to audit information from the frequent flier program using Alteryx, SQLServer, and Teradata for one of the largest airlines in Latam. | 1Data Analyst
| numpy, teradata, tensorflow, xgboost, tableau, sql server, r, ownership, sas, pandas, databases, nlp, pyspark, python, microsoft excel, powerbi, tensorflow probability, sqlserver, mysql, time series, alteryx, statistics, ml frameworks, hue, daskvisualization, scikit-learn, apache impala, impala, sql, data |
Developed a LayoutLMv2 NLP model using python, pytorch and Hugging Face leveraging on GCP Compute Engine, improving accuracy and efficiency of extracting and parsing information from PDFs using MLFlow as experiment tracking on Databricks. | 3Machine Learning Engineer
| pytorch, numpy, challenges and possible solutions. sme annual conference, aws lambda and the serverless framework - hands on, aws ebsdata, aws batch, git, compose, powerbi, gcp, huggingface, aws emr, dvc, seaborn, python data analysis and machine learning course, keras, nosql, sql, aws eventbridge, shap, tensorflow, ml tools, postgresql, docker, power bi, microsoft excel, aws ecs, matplotlib, decision making, fastapi, opencv, databricks, jupyter notebook, mssql, aws redshift, scikit-learn, shell scripts, tf object detection api, langchain for llm application development, github actions, docker compose, apache spark, tableau, pandas, apache cassandra, python, az., github, nltk, chatgpt prompt engineering for developers, apache airflow, excel, aws api gateway, mlflow, aws lambda, aws ec2, google bigquery, sql server, streamlit, gcp compute engine, bash, nlp, restrepo, aws sns, pyspark, anaconda, the complete python course - learn python by doing, vs code, publicationvelasquez, aws, aws ecr, antioquia - colombia, ms sql, aws s3, label-studio, google data studio, aws cloud practitioner essentials, computer vision |
Developed a real-time pipeline for app transactions, with serverless querying, from which the app team could monitor and discover patterns without increasing costs significantly. Stack: AWS ECS, Fargate, FluentD, Kinesis Data Streams, Kinesis Data Firehose, Lambda, S3, Athena. Python | 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 |
Built reliable and cost-efficient data pipelines using Airbyte to extract marketing data from various sources, DBT to transform, aggregate, and test the data, and Airflow to schedule its execution. These pipelines were intended to serve data analysts needs. | 0Data Engineer
| luigi, apache spark, kafka, hdfs, tableau, apache kafka, databases, spark, apache livy, jenkins, kubernetes, looker, python, argocd, gcp, gitlab, jupyter, node.js, prestosql, mongodb, apache airflow, ruby on rails, scala, sql, visualization, debezium, airbyte, metabase, digital ocean, apache ranger, go, google cloud storage, apache superset, postgresql, pyspark, ansible, docker, mysql, linux, golang, java, aws, databricks, jupyter notebook, rundeck, kotlin, dbt, redash, redis, data, ruby, react |
Created and maintained a set of UI components used in multiple products throughout the company to build sports betting sites. Worked with technologies like Preact, Google Closure Templates and KotlinGroovy for testing. | 4Software Engineer
| other |
Identified and reported web applications’ opportunity areas and strategies based on customer behaviors to increase conversion rates using Google Analytics, Matomo, and FullStory. | 1Data Analyst
| numpy, apache spark, tableau, rest api, hubspot, databases, pandas, spark, javascript, apache cassandra, python, looker, powerbi, github, gcp, jupyter, azure data factory, node.js, ms sql server, postman, mongodb, scala, sql, visualization, azure cosmosdb, express.js, sql server, r, azure api management, postgresql, azure, pyspark, azure synapse, cassandra, decision making, azure devops, aws, google apis, sequelize, azure sql, databricks, jupyter notebook, mssql, windows, mariadb, aws s3, google data studio, data, azure data lake |
Contributed to improving the user experience and frontend design, implementing responsive and user-friendly components to cater to the specific needs of public administration information seekers. | 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 |
Developed customer segmentation model applying unsupervised learning, customer fingerprint and dimensionality reduction using Scikit Learn and specifically K Means and PCA, Pandas, and Custom Python code to improve marketing targeting for a 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 |
Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog. | 0Data Engineer
| apache spark, rest api, pandas, dataflow, regex, jenkins, javascript, google datastore, python, git, github, google, gcp, data modeling, selenium, google dataflow, node.js, postman, aws glue, apache airflow, planning, sql, dynamodb, c++, aws lambda, aws ec2, neo4j, aws dynamodb, google cloud storage, google bigquery, bash, postgresql, aws sns, terraform, pyspark, docker, mysql, aws rds, statistics, aws, aws step functions, apache beam, unix, data studio, aws redshift, scikit-learn, dbt, serverless framework, aws s3, google data studio, data, pytest, github actions, aws kinesis |
Produced optimization models using Python to reduce costs related to the processing and execution of monetary and not-monetary bank transactions. | 5Analytics Engineer
| other |
Performed feature importance analysis for search relevance optimization with the goal of finding the factors that have a bigger influence in search results relevance in order to improve ranking models using Python, AWS SageMaker, sci-kit-learn, XGBoost, PySpark, Spark ML, Pandas, NumPy, PyTorch, SQL, Snowflake, Git, and Github What was the outcomebenefit of this analysis?. | 3Machine Learning Engineer
| pytorch, numpy, apache spark, c#, oracle, databases, pandas, spark, hive, apache hadoop, python, git, shiny, github, pentaho, gcp, ml frameworks, neptune, snowflake, seaborn, keras, sap data services, sql, visualization, c++, .net, sap, go, tensorflow, xgboost, sql server, r, microsoft word, nlp, pyspark, docker, matplotlib, mysql, linux, statistics, aws, c, apache hive, aws redshift, sagemaker, scikit-learn, scipy, data, hadoop, redshift, aws neptune |
Integrated Slack and Telegram for errors and custom messages. | 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 |
Participated in the software development team projects, collaborating often with backend developers, business analysts, and UXUI designers. | 2Data Scientist
| aws ec2, pytorch, weights, apache spark, xgboost, kubeflow, r, streamlit, aws s3data, google automl, nlp, pythondatabases, kubernetes, pyspark, neptune.ai, python, docker, matplotlib, huggingface, hugging face, fastapi, plotly, statistics, aws, c, datarobot, ml, amazon sagemaker, sagemaker, ggplot2, scikit-learn, planning, fast api, tidyverse, weights & biases, scikit learn, pytorch lightning, computer vision |
Developed a graphical user interface desktop application using GUI, Python, and Matplotib to expose historical records, trends, statistics, and results of a predictive system of hydrological variables in a hydroelectric reservoir. Accessed and transformed data using MySQL, Numpy, and Pandas. Delivered application updates through git-GitHub releases without user intervention, reducing by two man-hoursday processing time for the analytics team. | 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 |
Deployed ML models as endpoints with Cloud FunctionsLambda and GitHub Actions to be consumed online or batch by other SaaS systems as an operational input for a fintech’s factoring operations. | 0Data Engineer
| numpy, apache spark, kafka, apache kafka, pandas, dataflow, dax, aws cli, kubernetes, looker, python, git, structured streaming, sac, powerbi, cloud sql, github, gcp, sql serveranalysisservices, datastream, ml frameworks, sap analytics cloud, google compute engine, snowflake, structured streaming spark, mongodb, looker studio, google vertex ai, apache airflow, sap hana, sql, visualization, spark structured streaming, django, requests, aws lambda, sap, google cloud run, firestore database, google cloud storage, google bigquery, sql server, postgresql, aws aurora, terraform, azure, pyspark, ansible, docker, microsoft excel, gcloud cli, mysql, aws rds, linux, google cloud, nielsenanswersdata, aws, apache beam, azure sql, databricks, dagster, firestore, dbt, scikit-learn, google cloud functions, airflow, aws s3, gcp iam, github actions, golangdatabases |
Implemented an ETL using Python and SQL on Databricks that extracted data from EC2, RDS, EBS, CloudFront, and S3 across multiple AWS accounts using AWS APIs and Cost Usage Report. Mapped data based on purpose (e.g., DAG’s EC2, EBS, DTO) and aggregated costs and usage metrics with SparkSQL. Enabling data scientists team of a game development company to build a cost anomaly detection model, preventing financial waste of 300k+ USD annually. | 0Data Engineer
| apache spark, kafka, cloudwatch, tableau, apache kafka, databases, pandas, jenkins, hive, kubernetes, looker, python, cloud sql, gcp, data modeling, microsoft access, aws emr, ml frameworks, prestosql, pubsub, vba, seaborn, apache airflow, planning, sql, aws ebs, digdag, visualization, c++, sigma, google dataproc, aws ec2, caret, google cloud storage, xgboost, google bigquery, r, streamlit, bash, postgresql, embulk, terraform, pyspark, aws cloudwatch, docker, matplotlib, sparkml, mysql, aws rds, fastapi, plotly, google cloud, aws, aws cloudfront, rpart, apache hive, dataform, data studio, databricks, jupyter notebook, aws redshift, scikit-learn, dbt, flask, redis, airflow, aws s3, dataproc, data |
Designed recommendation algorithms for distinct sections of an E-Commerce platform. | 2Data Scientist
| other |
Deployed machine learning models with BentoML and Yatai. Added monitoring using fiddler to new and existing models. | 3Machine Learning Engineer
| pytorch, apache spark, jupyter notebooks, c#, tableau, pandas, javascript, apache hadoop, python, apache cassandra, git, gcp, time series, snowflake, mongodb, tableau and power, apache airflow, nosql, sql, snowflake.data, neo4j, tensorflow, fiddler, r, azureml frameworks, bash, bentoml, nlp, postgresql, powershell, azure, pyspark, matlab, docker, aws ecs, cassandra, visual basic, mysql, fastapi, aws, aws ecr, yatai, numpyvisualization, azure sql, databricks, jupyter notebook, scikit-learn, dbt, shell scripts, matlab and visual basic.databases, computer vision |
Migrated existing queries from Snowflake to Databricks for a solar energy company in the US to create operational dashboards in Sigma and provide business analysts with high-quality data. | 0Data Engineer
| apache spark, databases, css, python, git, powerbi, github, data modeling, aws emr, html, snowflake, delta lake, aws glue, apache airflow, splunk, sql, shell, dynamodb, aws lambda, aws ec2, aws dynamodb, sigma, r, postgresql, aws sns, terraform, azure, matlab, pyspark, docker, latex, azure devops, aws rds, aws, sqlite, aws step functions, azure sql, databricks, aws redshift, dbt, shell scripts, aws s3, data, github actions, aws kinesis, delta live tables |
Assisted the building and maintaining of on-premises data and analytics platform for the biggest LATAM bank in terms of IT infrastructure. | 3Machine Learning Engineer
| numpy, lightgbm, apache spark, hdfs, tableau, databases, pandas, mlops, ibm db2, hive, apache hadoop, python, git, cloud sql, pycaret, github, gcp, time series, gitlab, ml frameworks, yarn, cognos analytics, mongodb, seaborn, keras, sql, visualization, django, sigma, db2, ibm, tensorflow, hbase, xgboost, postgresql, azure, pyspark, ibm data refinery, ibm cloud, fastapi, linux, plotly, c, apache hive, spss, azure sql, apache nifi, gitops, scikit-learn, datastage, cognos, data, hadoop, computer vision |
Built an ETL pipeline using Python to ingest historical data into Teradata that enabled pig’s survival rate prediction by implementing a Random Forest model. | 2Data Scientist
| simul 8, pytorch, numpy, apache spark, teradata, jupyter notebooks, databases, pandas, regex, google sql, microsoft office, apache cassandra, python, looker, git, gcp, huggingface, ml frameworks, mongodb, seaborn, apache airflow, keras, planning, sql, xdk, elasticsearch, aws api gateway, google plx dashboards, visualization, mlflow, aws ec2, aws fargate, tensorflow, xgboost, google bigquery, r, streamlit, bash, nlp, postgresql, pyspark, matlab, docker, aws ecs, matplotlib, decision making, latex, mysql, fastapi, java, aws, aws ecr, apache beam, databricks, jupyter notebook, aws redshift, scikit-learn, shell scripts, tf object detection api, airflow, aws s3, data, beautiful soup |
Reviewed the resources allocated to the most expensive Airflow DAGs from several company teams using metrics and information available in Spark UI and Ganglia and resized their EC2 and EBS instances to adequate sizes, optimizing SQL queries and Pyspark scripts, reducing costs in 100k+ USD without negatively affect job performance. | 0Data Engineer
| apache spark, kafka, cloudwatch, tableau, apache kafka, databases, pandas, jenkins, hive, kubernetes, looker, python, cloud sql, gcp, data modeling, microsoft access, aws emr, ml frameworks, prestosql, pubsub, vba, seaborn, apache airflow, planning, sql, aws ebs, digdag, visualization, c++, sigma, google dataproc, aws ec2, caret, google cloud storage, xgboost, google bigquery, r, streamlit, bash, postgresql, embulk, terraform, pyspark, aws cloudwatch, docker, matplotlib, sparkml, mysql, aws rds, fastapi, plotly, google cloud, aws, aws cloudfront, rpart, apache hive, dataform, data studio, databricks, jupyter notebook, aws redshift, scikit-learn, dbt, flask, redis, airflow, aws s3, dataproc, data |
Participating in the construction of the data catalog of the company in DBT and Atlan to democratize the data in the company and expand its use outside the data teams. – NEW | 5Analytics Engineer
| tableau, oracle, r, ownership, azure sql database, postgresql, azure blob storage, hive, azure, apache hadoop, python, predictive modeling, power bi, powerbi, azure cognitive services, decision making, azure machine learning, mysql, linux, aws, dbtml, apache hive, azure sql, databricks, aws glue, windows, sagemaker, scikit-learn, dbt, apache airflow, sql, google data studio, data, aws sagemaker, azure databricks, hadoop, php, aws lambda |
Trained models with their optimal parameters and kept track of each of their runs leveraging CometML to store performance metrics as well as other relevant data such as object detection images for specific cases stored in the test set. | 3Machine Learning 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 |
Established a network of websites utilizing Drupal to maximize exposure and drive growth for the company. | 4Software Engineer
| numpy, kafka, apache kafka, redux, databases, pandas, perfect, css, javascript, heroku, python, github, gcp, selenium, programming, time series, ml frameworks, html, node.js, software architecture, mongodb, apache airflow, keras, spring, planning, pymongo, ruby on rails, react.js, visualization, postgres, travisci, django, teamwork, bokeh, graphql, go, express.js, tensorflow, xgboost, r, ownership, storybook, streamlit, bash, postgresql, collaboration, pyspark, docker, microsoft excel, sqlserver, mysql, plotly, statistics, aws, nginx, java, c, opencv, jquery, typescript, aws redshift, scikit-learn, sidekiq, flask, airflow, data, pytest, sinatra, ruby, php, react |
Leveraged Python, Spark, and Glue to manipulate data across data lakes. | 0Data Engineer
| apache spark, beautifulsoup, css, javascript, kubernetes, python, powerbi, github, gcp, data modeling, html, delta lake, aws glue, seaborn, apache airflow, splunk, sql, dynamodb, django, aws lambda, aws ec2, aws dynamodb, tensorflow, google cloud storage, google bigquery, postgresql, aws sns, terraform, pyspark, docker, microsoft excel, matplotlib, mysql, aws rds, linux, aws, aws step functions, apache hive, typescript, databricks, jupyter notebook, aws redshift, dbt, flask, aws s3, dash, rpa, data, beautiful soup, github actions, aws kinesis, delta live tables, react |
Implemented data pipelines, analyses, and visualizations to optimize performance of marketing campaigns. | 2Data Scientist
| aws ec2, pytorch, typer, numpy, tensorflow, xgboost, postgresql, facebook prophet, prophet, pythondatabases, pyspark, scipyvisualization, python, docker, git, matplotlib, latex, huggingface, mysql, time series, fastapi, jax, aws, ml frameworks, databricks, mongodb, seaborn, scikit-learn, react, flask, apache impala, shap, scipy, mlflow, scikit learn, mongodbdata |
Integrated 40 dispersed databases on AWS to centralize strategic data (market share and new market variables) for better and faster information processing. | 2Data Scientist
| 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 |
Led a team of 8 engineers, managed one of Factoreds first accounts, coordinated the performance management process for all the MLEs at the company, and actively participated in the technical management team. | 3Machine Learning Engineer
| pytorch, go, tensorflow, spacy, tableau, databases, pandas, nlp, postgresql, javascript, sqlalchemy, pyspark, python, microsoft excel, gcp, mysql, aws, java, ml frameworks, opencv, raspberry pi, databricks, mongodb, aws redshift, scikit-learn, apache airflow, keras, airflow, rust, shap, data, visualization, mlflow, django, react |
Developed a C optimization system to control 2 ore factories, such as production, equipment allocation, courtyard positioning, and train loading orders, to Vale, one of the largest mining companies in the world | 2Data Scientist
| pytorch, eks., numpy, tox, aws elastic beanstalk, c#, tableau, databases, pandas, metaflow, javascript, diffusers, kubernetes, python, git, github, selenium, huggingface, time series, aws - rds, ml frameworks, ec2, snowflake, seaborn, apache airflow, keras, sql, visualization, mlflow, postgres, travisci, beatifulsoap, aws ec2, tensorflow, xgboost, streamlit, postgresql, php, iam, aws eks, docker, aws ecs, aws iam, matplotlib, mysql, hugging face, aws rds, ecr, fastapi, detectron airflow, statistics, aws, ecs, aws ecr, opencv, aws redshift, scikit-learn, dbt, aws s3, scipy, data, pytest, github actions, computer vision |
Developed data warehouse and data lake creations using AWS S3, Athena, AWS Glue, EMR, redshift, and Lambda for faster data processing and dashboards generation, enabling better insights for decision making stakeholders. | 2Data Scientist
| 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 |
Conducted an advanced analysis applying Natural Language Processing (NLP) techniques based on transformer models and dimensionality reduction to identify text similarity and build 3D spaces to visually present data based on sentences on project documents of an agency of the United Nations responsible for providing humanitarian and developmental aid to children worldwide. | 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 |
achieve a better throughput and increased availability. | 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 |
Used Machine Learning models to show sentiment analysis of users posts and comments, using Python, Scikit-Learn, TextBlob and Power BI to monitor how users were expressing themselves and if they were feeling more negative or positive through their posts and comments for the marketing team of a communications startup. | 1Data Analyst
| numpy, kafka, apache kafka, databases, pandas, powerquery, lambda, kubernetes, looker, python, git, powerbi, github, gcp, data modeling, selenium, aws athena, gitlab, ml frameworks, athena, snowflake, textblob, mongodb, vba, aws glue, glue, seaborn, apache airflow, prefect, sql, visualization, google dataproc, google cloud storage, google bigquery, microsoft word, postgresql, pyspark, docker, power bi, microsoft excel, matplotlib, travis ci, aws documentdb, mysql, aws rds, aws, c, opencv, aws redshift, scikit-learn, dbt, airflow, aws s3, dataproc, rpa, data, s3, travis |
Implemented 79 tasks using PostgreSQL, Ruby on Rails, and Angular stack. To deliver full-stack features to their web app. Most of the features were oriented to process and appropriately display analytics. For a start-up dedicated to scrape and process for Amazon Sellers. | 6Full-Stack Engineer
| capybara, circleci, css, javascript, python, git, flutter, github, gcp, sql serveranalysisservices, programming, gamemaker studio 2, angular, html, node.js, jest, ruby on rails, sql, aws api gateway, dynamodb, bootstrapdatabases, aws lambda, objective-c, aws secrets manager, graphql, postgresql, aws cognito, ngrx, terraform, aws rds, java, aws, aws cloudfront, c, wordpress, typescript, amazon dynamodb, gitflow, aws s3, android studio, github actions, rspec, scss, ruby, react |
Deployed a monitoring infrastructure on AWS using ECR, S3, Batch, Eventbridge, and SNS to detect any covariate shift in the data distribution of the news to classify, enabling easy retraining of the model with the new data distribution, for the Fake news platform. | 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 |
Finding user fraud out of our existing data, to increase efficiencies. | 0Data Engineer
| other |
Modeled a meta-heuristic solution as a resource allocation problem, which achieved more than 90% of the mine demands | 2Data Scientist
| pytorch, eks., numpy, tox, aws elastic beanstalk, c#, tableau, databases, pandas, metaflow, javascript, diffusers, kubernetes, python, git, github, selenium, huggingface, time series, aws - rds, ml frameworks, ec2, snowflake, seaborn, apache airflow, keras, sql, visualization, mlflow, postgres, travisci, beatifulsoap, aws ec2, tensorflow, xgboost, streamlit, postgresql, php, iam, aws eks, docker, aws ecs, aws iam, matplotlib, mysql, hugging face, aws rds, ecr, fastapi, detectron airflow, statistics, aws, ecs, aws ecr, opencv, aws redshift, scikit-learn, dbt, aws s3, scipy, data, pytest, github actions, computer vision |
Built a data lake with layered architecture using S3 buckets. | 0Data Engineer
| numpy, lightgbm, apache spark, c#, react js, pandas, beautifulsoup, javascript, python, powerbi, github, data modeling, selenium, angular js, aws athena, angular, snowflake, aws glue, azure active directory, apache airflow, sql, aws eventbridge, aws api gateway, dynamodb, aws lambda, aws ec2, aws dynamodb, xgboost, sql server, ml tools, postgresql, aws sns, terraform, azure, pyspark, azure active directory b2c, azure devops server, docker, power bi, azure devops, aws rds, statistics, aws, java, c, aws step functions, azure sql, databricks, aws redshift, sagemaker, scikit-learn, dbt, shell scripts, aws s3, data, beautiful soup, github actions, aws kinesis, react |
Created and deployed a machine learning model to predict loan default using tabular data and the Imblearn library to handle the imbalanced dataset, XGBoost classifier and SHAP to explain output predictions, determining approvals or denials of loan applications. Obtained a f1-score of 0.35. | 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 |
Participated in the development life cycle of report generation ensuring the integrity and quality of information in the Bronze, Silver and Gold areas, from the collection and analysis of requirements in Jira, development of tables and views required in the data model, data quality testing and launching of reports in Power BI for a multinational company. | 0Data Engineer
| numpy, apache spark, c#, tableau, sas, pandas, powerquery, databases, dax, spark, microsoft office, python, git, powerbi, github, programming, ml frameworks, microsoft power point, sas base, snowflake, vba, seaborn, postgresql., t-sql, vba and matlab., scala, sql, visualization, talend, sap, trello, pycharm, go, visual studio code, and tableau., sql server, r, nlp, postgresql, matlab, pyspark, power bi, microsoft excel, sql seververintegrationservices, matplotlib, decision making, mysql, vs code, aws quicksight, aws, databricks, ggplot2, powerpivot, aws s3, scipy, data, jira, powerview |
Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog and implementing data processing jobs to move data between data lake zones using Python, AWS Glue, and Apache Spark. | 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 |
Implemented CICD pipelines for infrastructure deployment automation via GitHub Actions and Terraform. | 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 |
Implemented people analytics and developed dashboards using Tableau, R and SQL as primary tools to monitor people department KPIs at various levels of the organization to aid in the resolution of business challenges for a healthcare company. | 5Analytics Engineer
| apache spark, kafka, cloudwatch, tableau, apache kafka, databases, pandas, jenkins, hive, kubernetes, looker, python, cloud sql, gcp, data modeling, microsoft access, aws emr, ml frameworks, prestosql, pubsub, vba, seaborn, apache airflow, planning, sql, aws ebs, digdag, visualization, c++, sigma, google dataproc, aws ec2, caret, google cloud storage, xgboost, google bigquery, r, streamlit, bash, postgresql, embulk, terraform, pyspark, aws cloudwatch, docker, matplotlib, sparkml, mysql, aws rds, fastapi, plotly, google cloud, aws, aws cloudfront, rpart, apache hive, dataform, data studio, databricks, jupyter notebook, aws redshift, scikit-learn, dbt, flask, redis, airflow, aws s3, dataproc, data |
Worked with the mobile team to implement new features and communications with backend services in order to augment drivers acceptance rate by 25% to 30%. | 4Software Engineer
| other |
Implemented serverless architecture using AWS Lambda and DynamoDB, significantly reducing infrastructure costs and elevating the scalability and availability of the system for a cutting-edge financial technology project. | 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 |
Implemented forum questions classifier using a BERT transformer and an explainability framework built upon LIME. Served explained predictions through a dockerized API deployed in AWS. | 2Data Scientist
| aws ec2, numpy, tensorflow, google bigquery, r, streamlit, databases, pandas, bash, compute engine, pool, postgresql, cloud sql, python, git, docker, microsoft excel, aws ecs, gcp, matplotlib, decision making, aw ec2, mysql, fastapi, cloud, statistics, aws, spss, google compute engine, scikit-learn, google vertex ai, excel, aws mltools, asyncio, google cloud functions, bigquery, sql, shap, data, lime |
Trained a Multiple Linear Regression model with Ridge Regularization on Python with Azure Machine Learning Studio and Microsoft SQL Server focused on helping doctors correctly assign rest days for reducing medical variability by 20% for mild cases and 10% for severe cases | 2Data Scientist
| numpy, azure sql databases, databases, pandas, mrmr, microsoft sql server, python, powerbi, pycaret, pytesseract, aws athena, time series, ml frameworks, jupyter, azure machine learning studio, seaborn, keras, sql, shap, aws sagemaker, visualization, teamwork, go, tensorflow, sql server, r, streamlit, azure, microsoft excel, matplotlib, statistics, aws, opencv, azure sql, databricks, jupyter notebook, sklearn, sagemaker, scikit-learn, aws s3, data, azure databricks, computer vision |
Implemented backend and front-end frameworks to display credit default risk predictions and explainability using Stream-lit and LIMESHAP libraries. | 3Machine Learning Engineer
| pytorch, apache spark, css, javascript, python, structured streaming, github, huggingface, nltk, angular, node.js, mongodb, aws glue, apache airflow, keras, apache solar, sql, shap, dlib, c++, mlflow, spark structured streaming, aws ec2, tensorflow, streamlit, nlp, great expectations, postgresql, collaboration, azure, pyspark, docker, ml flow, mysql, hugging face, fastapi, java, aws, opencv, azure sql, databricks, scikit-learn, dbt, flask, gensim, airflow, data, github actions, computer vision, react |
Developed a loan default prediction model on a heavily imbalanced dataset using Tensorflow to determine critical variables that increasedecrease default probability. Explained its predictions using SHAP and served it through a dockerized API on AWS. | 2Data Scientist
| aws ec2, numpy, tensorflow, google bigquery, r, streamlit, databases, pandas, bash, compute engine, pool, postgresql, cloud sql, python, git, docker, microsoft excel, aws ecs, gcp, matplotlib, decision making, aw ec2, mysql, fastapi, cloud, statistics, aws, spss, google compute engine, scikit-learn, google vertex ai, excel, aws mltools, asyncio, google cloud functions, bigquery, sql, shap, data, lime |
Created and implemented a tree based cross-sectional model to quantify consumer credit risk behavior for one of the biggest banks in Panama, taking into account credit history, income, employment status, and other financial information using Scikit-Learn and PySpark. | 2Data Scientist
| numpy, teradata, tensorflow, xgboost, tableau, sql server, r, ownership, sas, pandas, databases, nlp, pyspark, python, microsoft excel, powerbi, tensorflow probability, sqlserver, mysql, time series, alteryx, statistics, ml frameworks, hue, daskvisualization, scikit-learn, apache impala, impala, sql, data |
Set up an ETL used to pull 100,000 images serialized as TensorFlow TF.Records in AWS EBS to be consumed by a computer vision object detection model trained on TensorFlows object detection API and deployed via Lambda. The solution includes a PythonStreamlit web application to simplify image uploads. | 3Machine Learning Engineer
| numpy, jupyter notebooks, pandas, apache cassandra, python, git, github, databricksdata, huggingface, azure machine learning, dvc, keras, planning, sql, aws api gateway, aws ebs, mlflow, django, aws lambda, aws ec2, aws fargate, tensorflow, xgboost, streamlit, bash, postgresql, aws sns, azure functions, azure, pyspark, docker, aws ecs, matplotlib, azure devops, fastapi, statistics, aws, aws ecr, databricks, jupyter notebook, aws redshift, scikit-learn, shell scripts, tf object detection api, azureml tools, aws s3, scipy, github actions, computer vision |
Developed routines that interact with Amazon Web Services (AWS). WHAT WAS THE OJETIVEOUTCOME? FOR WHOM? | 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 |
Developed a system for authentication and authorization of users and applications with specific requirements regarding their concurrency and performance using Java, Scala, Single Sign On, SAML, XACML, Angular JS, Microservices and REST. | 4Software Engineer
| oracle, sas, pandas, dax, docker., javascript, python, git, powerbi, programming, angular, javascript., node.js, ml, mongodb, keras, rest services., scala, sql, django, go, tensorflow, microsoft word, nlp, backend, postgresql, php, power, and java, power bi, mysql, java, node js, raspberry pi, postgresql and mongodb., scikit-learn, flask, data, tensorflow., computer vision |
Developed, implemented and deployed 10 ingestion data pipelines for a Juice retail and subscription company using Airflow as orchestration and DBT as the main transformation tool. Including SFTP, Fivetran native and custom connections. | 0Data Engineer
| 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 |
Led the end-to-end development of a self-service platform to generate work certificates for Factored employees in order to reduce operational burden for both the operations team and the employees. The whole backend was developed in Python using FastAPI, and was deployed in AWS Lambda. | 2Data Scientist
| networkx, numpy, apache spark, tableau, react js, pandas, pool, julia, spark, javascript, python, git, powerbi, gcp, huggingface, time series, ml frameworks, google compute engine, snowflake, google big query, google functions, asyncio, planning, sql, visualization, mlflow, aws lambda, aws ec2, tensorflow, xgboost, google bigquery, r, streamlit, postgresql, pyspark, docker, microsoft excel, aws ecs, matplotlib, decision making, latex, fastapi, linux, statistics, aws, databricks, scikit-learn, scikitlearn, dash, data, leadership, react |
Created ensemble models and trained over large medical datasets with neural networks, Transformers, vision transformers and encoding representations combining a weighted majority vote to find diagnosis, procedures, medications with contextual understanding; as a result, detected ICD and CPT codes with 0.89 f1-score. | 3Machine Learning Engineer
| pytorch, numpy, spacy, aws cloudformation, oracle, dax, rabbitmq, jenkins, ibm db2, kubernetes, powerbi, gcp, huggingface, jupyter, ubuntu, dvc, seaborn, keras, prefect, sql, django, tensorboard, gitlab ci, ibm, tensorflow, dask, centos, postgresql, aws eks, azure, aws cloudwatch, docker, aws ecs, cerberus, matplotlib, decision making, fastapi, swagger, opencv, jupyter notebook, scikit-learn, oracle db, fast.ai, scipy, grafana, github actions, php, cockroachdb, apache spark, kubeflow, databases, pandas, apache hadoop, python, github, sql serveranalysisservices, elyra, gitlab, ml frameworks, mongodb, apache airflow, elasticsearch, visualization, celery, mlflow, aws lambda, aws ec2, db2, go, jupyterhub, sql server, transformers, streamlit, nlp, pyspark, ansible, fastai, jupyterlab, aws, java, azure sql, yellowbrick, flask, redis, airflow, aws s3, data, zabbix, mlxtend, computer vision |
Orchestrated Data Pipelines to run a scheduled ELT script using Python, Prefect, AWS Redshift and Dbt to refresh data daily for customers and to C-level startup stakeholders. | 1Data Analyst
| numpy, kafka, apache kafka, databases, pandas, powerquery, lambda, kubernetes, looker, python, git, powerbi, github, gcp, data modeling, selenium, aws athena, gitlab, ml frameworks, athena, snowflake, textblob, mongodb, vba, aws glue, glue, seaborn, apache airflow, prefect, sql, visualization, google dataproc, google cloud storage, google bigquery, microsoft word, postgresql, pyspark, docker, power bi, microsoft excel, matplotlib, travis ci, aws documentdb, mysql, aws rds, aws, c, opencv, aws redshift, scikit-learn, dbt, airflow, aws s3, dataproc, rpa, data, s3, travis |
Developed, improved, and implemented descriptive and predictive models using SQL and Python. | 1Data Analyst
| ibm, tableau, databricks, databricksvisualization, sql, python, imb informix, data, microsoft excel, powerbi, power bi, prioritization |
Designed and built a data warehouse for a car rental store, including product, customer, and sales data, with a dimensional model following Kimball’s data modeling technique, structured with dbt models in dbt cloud and connected with a PostgreSQL Amazon RDS database. | 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 |
Developed web dashboards utilizing ASP.NET and Chart.js to visualize and track the companys sales key performance indicators (KPIs). These interactive dashboards empowered sellers to monitor their progress, enabling them to achieve their goals more efficiently and effectively. | 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 |
Manipulation and configuration of linux operating systems to put systems in production. | 6Full-Stack Engineer
| db2, ibm, tensorflow, apache spark, ownership, databases, spark, facebook prophet, prophet, kubernetes, microsoft office, python, docker, git, design patterns, time series, angular, fastapi, linux, aws, ml frameworks, node.js, databricks, aws redshift, aws glue, flask, openai embeddings service, data, visualization |
Designed an ETL implementation using Python, Spark, and Pandas orchestrating with Airflow for several data sources from different formats (API, Xlsx, CSV, SQL, and NoSQL Databases) to ingest healthcare insurance-related information in a data lake over AWS S3 at a Unicorn Status Startup from the US. | 0Data Engineer
| numpy, apache spark, kafka, c#, oracle, apache kafka, databases, pandas, javascript, apache cassandra, python, git, meteor js, gcp, sql serveranalysisservices, angular js, aws athena, angular, gitlab, ml frameworks, node.js, snowflake, mongodb, cosmos db, apache airflow, nosql, sql, elasticsearch, c++, .net, django, azure synapse analytics, sql server, great expectations, postgresql, blob storage, azure, pyspark, azure synapse, docker, cassandra, mysql, linux, aws, java, sqlite, jquery, azure sql, aws redshift, scikit-learn, azure cosmos, flask, airflow, aws s3, data, apache jmeter, ruby, delta lake, php, react |
Working 100%remote with US team with Azure Cloud, databricks, pyspark, python, Synapse, CosmosDB, PowerBi . Working in ETL in order to build some pipelines, saving into the lake as delta and delivery into gold layer, working with transformation copy from SQLCosmosDb and read into Power BI process visualization. Working as leadership in data team. Refactoring all the data process, doing costs improvement, performance improvement, quality data improvements.add | 0Data Engineer
| other |
Developed a project focused on delivering a system that predicted which parts of trains would be needed in a given warehouse for a large Transportation company in Brazil. The final delivery included two models, one based on an XGBoost and the other on an LSTM. | 3Machine Learning Engineer
| pytorch, numpy, lightgbm, tensorflow, apache spark, c#, xgboost, sql server, databases, pandas, nlp, circleci, spark, postgresql, terraform, azure, pyspark, python, docker, azure devops, mysql, time series, statistics, java, aws, ml frameworks, c, azure sql, databricks, scikit-learn, keras, flask, sql, data, c++, delta lake |
Designed and documented a new data lakehouse architecture using EMR, S3, PrestoSQL, Dbt and Jenkins to enhance operational efficiency and reduce costs associated with ETLs for the Data team from a healthcare startup. | 1Data Analyst
| apache spark, kafka, cloudwatch, tableau, apache kafka, databases, pandas, jenkins, hive, kubernetes, looker, python, cloud sql, gcp, data modeling, microsoft access, aws emr, ml frameworks, prestosql, pubsub, vba, seaborn, apache airflow, planning, sql, aws ebs, digdag, visualization, c++, sigma, google dataproc, aws ec2, caret, google cloud storage, xgboost, google bigquery, r, streamlit, bash, postgresql, embulk, terraform, pyspark, aws cloudwatch, docker, matplotlib, sparkml, mysql, aws rds, fastapi, plotly, google cloud, aws, aws cloudfront, rpart, apache hive, dataform, data studio, databricks, jupyter notebook, aws redshift, scikit-learn, dbt, flask, redis, airflow, aws s3, dataproc, data |
Developed products SUCH AS? under Java, Python and cloud technologies WHAT WAS THE OUTCOME? FOR WHOM?. | 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 |
Created the first version of a customer lifetime valuation(CLV) aimed at segmenting customers in order to create marketing strategies aimed at segments. | 1Data Analyst
| statistics, aws, ml frameworks, tensorflow, tableau, databases, nlp, postgresql, sql, python, data, visualization, prioritization, pending, mysql |
Conducted data exploration, visualization, and statistical inference techniques using PySpark accessing Hadoop clusters to get insights about churnretention of clients and risk management helping the decision-making process. | 2Data Scientist
| pytorch, numpy, spacy, aws cloudformation, oracle, dax, rabbitmq, jenkins, ibm db2, kubernetes, powerbi, gcp, huggingface, jupyter, ubuntu, dvc, seaborn, keras, prefect, sql, django, tensorboard, gitlab ci, ibm, tensorflow, dask, centos, postgresql, aws eks, azure, aws cloudwatch, docker, aws ecs, cerberus, matplotlib, decision making, fastapi, swagger, opencv, jupyter notebook, scikit-learn, oracle db, fast.ai, scipy, grafana, github actions, php, cockroachdb, apache spark, kubeflow, databases, pandas, apache hadoop, python, github, sql serveranalysisservices, elyra, gitlab, ml frameworks, mongodb, apache airflow, elasticsearch, visualization, celery, mlflow, aws lambda, aws ec2, db2, go, jupyterhub, sql server, transformers, streamlit, nlp, pyspark, ansible, fastai, jupyterlab, aws, java, azure sql, yellowbrick, flask, redis, airflow, aws s3, data, zabbix, mlxtend, computer vision |
Maintained and developed new features for a Ruby on Rails app that helps over 5000 customers manage their proposals and pay their mortgages. | 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 |
Implemented a disaster recovery strategy by replicating a Kafka production cluster with a remarkable 180 ms sync time to a geographically distinct region, leveraging Kafka Mirrormaker and proficiently managing AWS and Huawei clouds to safeguard the data of ventures in Peru, Chile, and Colombia. | 1Data Analyst
| other |
Built an end-to-end NLP pipeline using Snowflake, Python, AWS S3, AWS ECR, AWS SSM parameter store, Docker, Airflow, Neptune, HugginFace, and Scikit-learn. The pipeline implemented a combination of transformers and classical NLP models (Sentence-Transformers, BERT, BART, TF-IDF, SVM) to perform case classification, sentiment analysis, spam detection, keyword extraction, and text summarization to classify and respond to around 2500-3000 customer emails and service requests per week and reduced response time by 40% for the customer service team. | 3Machine Learning Engineer
| pytorch, numpy, circleci, aws batch, kubernetes, microsoft office, huggingface transformers, git, huggingface, aws emr, neptune, node.js, snowflake, seaborn, pinecone, keras, langchain, prefect, sql, shap, dynamodb, prioritization, mathematica, javadatabases, aws dynamodb, tensorflow, dask, hugingface peft, postgresql, terraform, aws eks, docker, aws ecs, matplotlib, decision making, latex, fastapi, linux, aws quicksight, unix, aws redshift, scikit-learn, aws sqs, tf object detection api, github actions, hadoop, aws neptune, aws elastic beanstalk, tableau, aws s3data, pandas, oidc sso connectors, apache cassandra, python, apache hadoop, github, chainlit, sql serveranalysisservices, open ai gpt4, time series, ml frameworks, mongodb, daskvisualization, nodejs, apache airflow, aws api gateway, mlflow, aws ec2, streamlit, bash, nlp, scrapy, pyspark, mysql, aws rds, aws, java, c, aws ecr, aws ssm, dbt, flask, aws s3, dash, traefik |
Implemented an ETL pipeline for automatic data extraction and notification for a legal tech app. | 2Data Scientist
| pytorch, apache spark, spark, apache cassandra, python, github, data modeling, aws emr, ml frameworks, mongodb, aws glue, seaborn, apache airflow, planning, sql, dynamodb, visualization, aws lambda, aws ec2, tensorflow, r, geospatial analysis, bash, nlp, postgresql, aws sns, terraform, sqlalchemy, matlab, retool, pyspark, docker, matplotlib, decision making, mysql, aws rds, fastapi, statistics, aws, aws step functions, h2o automl, aws redshift, ggplot2, scikit-learn, dbt, airflow, aws s3, dash, data, gis, github actions, aws kinesis, computer vision |
Utilized Olap modeling to create hybrid wide mart and data mart structures through Snowflake WH dbt, PostgreSQL, Airflow and Power BI to assist the Rappi Ads BI Team in creating simpler queries and enabling them to answer business-related questions quickly. | 1Data Analyst
| apache spark, oracle, databases, pandas, spark, cloud sql, python, git, imb informix, powerbi, github, pentaho, ml frameworks, sap analytics cloud, software architecture, snowflake, seaborn, apache airflow, elementary-data, sap hana, sql, dynamodb, visualization, sap business objects bi, airbyte, metabase, aws lambda, periscope, sap, ibm, xgboost, google bigquery, r, postgresql, ibm informix, power bi, fivetran, decision making, mysql, sap business warehouse, fastapi, statistics, java, aws, oracle database, databricks, aws redshift, data management, scikit-learn, dbt, flask, superset, airflow, data, preset periscope, sap erp, php |
Built the machine learning microservices architecture using AWS ECS, Docker, and Python, in order to provide the machine learning models real-time predictions. | 3Machine Learning Engineer
| apache spark, kafka, apache kafka, databases, spark, jenkins, kubernetes, python, github, aws emr, aws athena, gitlab, ml frameworks, athena, aws glue, glue, apache airflow, scala, elasticsearch, dynamodb, aws dms, sigma, go, xgboost, bash, postgresql, terraform, jinja, pyspark, docker, aws ecs, mysql, fastapi, golang, aws, java, aws step functions, databricks, kotlin, aws redshift, sagemaker, scikitlearn, redis, airflow, aws s3, data, github actions, delta lake |
Trained all data team members on how to use dbt and migrate tables from Redshift to OLAP structures in BigQuery, resulting in a 20% improvement in team efficiency. | 5Analytics Engineer
| apache spark, oracle, databases, pandas, spark, cloud sql, python, git, imb informix, powerbi, github, pentaho, ml frameworks, sap analytics cloud, software architecture, snowflake, seaborn, apache airflow, elementary-data, sap hana, sql, dynamodb, visualization, sap business objects bi, airbyte, metabase, aws lambda, periscope, sap, ibm, xgboost, google bigquery, r, postgresql, ibm informix, power bi, fivetran, decision making, mysql, sap business warehouse, fastapi, statistics, java, aws, oracle database, databricks, aws redshift, data management, scikit-learn, dbt, flask, superset, airflow, data, preset periscope, sap erp, php |
Developed applications using .NET and .NET MVC for companies such as Electrolux and Volvo helping them manage their supply chain process. | 4Software 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 |
Led team on anomaly detection models. | 3Machine Learning Engineer
| other |
Managed and developed multiple Direct Acyclic Graphs (DAG) projects in Apache Airflow, enabling efficient workflow automation and ensured optimal performance and reliability of data pipelines for the social media network. | 0Data Engineer
| apache spark, tableau, oracle, databases, kusto sql, spark, hive, javascript, apache hadoop, python, looker, powerbi, aws emr, sql server data tools, jupyter, yarn, node.js, snowflake, sql server integration servicesdata, aws glue, apache airflow, databricksvisualization, scala, sql, .net, postgres, google bigquery, sql server, postgresql, collaboration, sqlalchemy, azure, mysql, aws rds, linux, alteryx, statistics, aws, apache hive, azure sql, databricks, jupyter notebook, aws redshift, d3.js, dbt, flask, airflow, aws s3, hadoop, aws kinesis, sql server database, react |
Made customer behaviour analysis for each campaign region in order to adjust content and the correct time of the communication. | 2Data Scientist
| data transformation, tableau, databases, pandas, customer database, communication strategies, analytical skills, python, powerbi, gcp, ml frameworks, etl, monitoring dashboards, sql, visualization, relational databases management, email campaign, model development, probability and statistics, customer interactions, r, email marketing, google analytics, decision making, visual basic, programming tools, behaviour analysis, statistics, java, cash flow, ai, data strategy, management level, rfp, object-oriented programming, data management, analyzing data, data, selection process, support students |
Developed an update process for web prices in Python in conjunction with the product management and marketing areas. | 1Data Analyst
| other |
Supported the adoption of the new Salesforce CRM with creative tools for the use of reports and ensure data accuracy. | 1Data Analyst
| other |
Founded and led the largest students chapter worldwide recognized by Google as "leaders who believe that technology can do extraordinary things for the world" (+4700 registered members). | 2Data Scientist
| numpy, lightgbm, apache spark, hdfs, tableau, databases, pandas, mlops, ibm db2, hive, apache hadoop, python, git, cloud sql, pycaret, github, gcp, time series, gitlab, ml frameworks, yarn, cognos analytics, mongodb, seaborn, keras, sql, visualization, django, sigma, db2, ibm, tensorflow, hbase, xgboost, postgresql, azure, pyspark, ibm data refinery, ibm cloud, fastapi, linux, plotly, c, apache hive, spss, azure sql, apache nifi, gitops, scikit-learn, datastage, cognos, data, hadoop, computer vision |
Database design and development of RESTful APIs using frameworks such as Flask and FastAPI. | 6Full-Stack Engineer
| db2, ibm, tensorflow, apache spark, ownership, databases, spark, facebook prophet, prophet, kubernetes, microsoft office, python, docker, git, design patterns, time series, angular, fastapi, linux, aws, ml frameworks, node.js, databricks, aws redshift, aws glue, flask, openai embeddings service, data, visualization |
Developed an integrated software tool that leverages wrapping container technologies for ease of use and distribution, using Python, Docker, and GCP. This tool facilitated the training of language models like BERT on complex infrastructures with specialized acceleration hardware for an open engineering consortium with a mission to benefit society by accelerating innovation in machine learning. | 3Machine Learning Engineer
| pytorch, numpy, go, tensorflow, gpu, c#, databases, pandas, bash, tpu, postgresql, javascript, cpu multithreading, azure, python, docker, git, gcp, matplotlib, mlcube, huggingface, gradio, mysql, fastapi, java, aws, ml frameworks, opencv, azure sql, keras, flask, sql, data, c++, computer vision |
Interacted directly with customers to collect requirements for personalized projects within the business analysis domain. | 0Data Engineer
| rest api, socket.io, data warehouse, databases, mobile app, rest apis development, javascript, linear regression, cloud sql, python, programming, pipeline design, aws emr, chart.js, business needs, cloud, ml frameworks, etl, snowflake, mongodb, web app, sql, transactional databases, dms, visualization, aws dms, collect requirements, aws ec2, approximation algorithms, aurora, aws aurora, machine learning, deep learning, analysis domain, mysql, epidemiology, aws, ai, scikit-learn, cloud services, flask, aws s3, numerical analysis, sql and javascript, data, s3 |
Developed mathematical models of linear programming to optimize the use of resources in the different processes of the company. LATAM | 5Analytics Engineer
| dimensional modeling, tableau, r, databases, postgresql, python, powerbi, github, alation, decision making, aws quicksight, statistics, aws, spss, snowflake, vba, dbt, apache airflow, sql, data, visualization, postgres |
Tuning stored procedures and functions, reducing processes from hours to minutes and eliminating server overhead and memory problems. | 0Data Engineer
| other |
Processed data across data lakes with Python, Glue, and Spark. | 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 |
Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT, and SQL. | 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 |
Created data pipelines to extract data from different sources (web application, files, and APIs) achieving approximately 75% reduction in time for data extraction compared to manual extraction. | 0Data Engineer
| other |
Collaborated with a cross-functional team of developers to enhance the capabilities of over 15 software applications using Ruby on Rails, Vue, and React, resulting in a 20% increase in overall efficiency and productivity of a 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 |
Rewrote the sales page with Typescript and achieved an 18.9% increase in average daily views. | 4Software Engineer
| pytorch, tensorflow, transformers, microsoft word, databases, nlp, julia, javascript, collaboration, sqlalchemy, python, git, docker, openai api, fastapi, linux, google drive, milvus, aws, node.js, typescript, mongodb, reactjs, firebase, nodejs, onnx, keras, flask, lisp, amplify, bigquery, langchain, sql, dynamodb, c++, flaskml tools, sqlachemy, react |
Contributed to planning and execution of an in-house ERP development project using VB.NET and MySQL. | 1Data Analyst
| apache spark, c#, pandas, postgresql, python, docker, git, powerbi, selenium, mysql, aws, scikit-learn, apache airflow, planning, dash, data, dynamodb, leadership, vb.net |
Created Python-driven pipelines using Pandas to bring data from different sources developing analysis in order to present it to different stakeholders for a tech outsourcing company in the US. | 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 |