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Follow-up of the loyalty program for the best 2000 VIP executives of the Direct Sales channel. | 1Data Analyst
| other |
Development of filters in order to show users the most related professions according to their vocational test results. | 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 |
Conducted data quality checks after the integration of recruitment data held on Excel files and an applicant tracking system during the company’s merger. The identifications and elimination of duplicate values allowed the Talent Acquisition Team to correct weight scores during selection processes. | 1Data Analyst
| tableau, oracle, r, bitbucket, postgresql, looker, python, power bi, microsoft excel, powerbi, github, decision making, selenium, latex, aws, mongodb, scikit-learn, nosql, playwriting, sql, data |
Developed systems for IRCCA (Institute for the Regulation of cannabis consumption), combining hardware and software to enable interaction with a fingerprint-based registry in physical dispensaries. The project utilized hardware security modules for data encryption and was implemented using Clojure, Datomic, and PostgreSQL. | 4Software Engineer
| aws cloudformation, kafka, oracle, apache kafka, databases, datomic, jenkins, kubernetes, apache cassandra, python, git, gitlab, distributed systems, erlang, planning, sql, elasticsearch, aws api gateway, dynamodb, visualization, c++, aws cdk, aws ec2, go, aws cdk in typescript, postgresql, terraform, aws eks, ansible, aws cloudwatch, docker, cassandra, mysql, aws rds, swagger, linux, knime, aws, java, c, unix, typescript, lucidchart, data, grafana, clojure |
Crafted graph neural network to improve and predict interactions on the App’s feed, therefore increasing the engagement using Python, Pytorch, AWS Neptun, and Sagemaker, enhancing time spent in the application from 10% to 12% for the social drafting team of an online payments fintech. | 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 |
Implemented clustering algorithms in order to understand distinct client behavior and assist the design of more effective marketing techniques | 2Data Scientist
| other |
Carried out data pipeline integration for the development and monitoring of novel initiatives. | 5Analytics Engineer
| other |
Developed features on an AI platform for better customer support service. | 3Machine Learning Engineer
| other |
Led the efforts to improve the output of a production facility using machine learning for an international mining company | 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 |
Designed and built orchestrated ELT pipelines with Airflow and Dbt to integrate the data of 7 recently merged retail brands in a Snowflake data warehouse, producing optimized tables to feed multiple dashboards, reports and analytical models. | 1Data Analyst
| sap, power automate, tableau, microsoft word, pandas, jinja, python, git, sharepoint, microsoft excel, powerbi, github, decision making, sap business objects data services, sap business objects web, vs code, microsoft power point, ms excel, minitab visualization, snowflake, mssql, oracle data, dbt, apache airflow, ms sql, planning, sql, sap business objects bi, matlab databases, power apps, sigma |
Assisted the UXUI design team, improving optimal user experience for the major HR app of the company. | 1Data Analyst
| numpy, databases, pandas, postgresql, bi, css, sqlalchemy, looker, python, microsoft excel, powerbi, github, aws, ml frameworks, html, snowflake, scikit-learn, flask, sql, data, visualization, scrum, sigma |
Created a cache mechanism with a high-availability Redis Cluster for fast lookups of semantic annotations accessed by a user. | 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 end-to-end of machine learning solutions, from project scoping and data collection, to building Docker images with APIs or batch processes to serve trained models. | 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 |
Construction and maintenance of dashboards in PHP and Power BI built with unstructured transactional data, to support the decision making of the Client team on the distribution of the traffic purchase budget based on the monitoring of KPIs such as LTV, CAC and RAR – NEW. | 0Data 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 |
Initiated the Development of web apps using Angular - Python stack | 6Full-Stack Engineer
| other |
Data Architecting and Engineering for Univision network, using GCP tools such as Composer, Dataflow, and Pubsub. | 0Data Engineer
| other |
Developed a system to escalate notifications to users using NodeJS, Amazon Lambda and PostgreSQL, to ensure that users received the notifications sent on the app through different channels: the desktop app, the mobile app and email notifications, considering the availability of the user and their preferences. | 4Software 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 |
Generated monitoring reports and compliance with indicators according to the required organizational area. | 1Data Analyst
| other |
Structured and reviewed information using SQL, Spark, and Presto to solve tickets sent by the finance team involving financial values. | 0Data Engineer
| teradata, apache spark, tableau, oracle, sas visual analytics, sas, pandas, databases, spark, hive, apache hadoop, python, looker, powerbi, pentaho, data modeling, ml frameworks, shell scripts., prestosql, snowflake, mongodb, seaborn, apache airflow, ruby on rails, sql, visualization, powercenter, google bigquery, sql server, postgresql, azure, pyspark, microstrategy, matplotlib, decision making, aws, apache hive, azure sql, databricks, scikit-learn, dbt, shell scripts, airflow, presto, data, hadoop, sas., ruby |
Created digital solutions using NodeJS and Reactjs in various international-wide projects for a big Internet and mobile service provider in Canada. The solutions developed, enhanced efficiency and internal tools used by the sales department creating and managing custom product bundles for their clients. | 6Full-Stack Engineer
| apache spark, oracle, redux, pandas, jenkins, hive, javascript, python, git, flutter, gcp, sql serveranalysisservices, programming, drupal, jupyter, node.js, prestosql, mongodb, jest, apache airflow, ruby on rails, scala, sql, laravel, webpack, .net, django, openshift, sql server, postgresql, php, docker, mysql, linux, java, aws, djangodatabases, apache hive, jupyter notebook, airflow, presto, spark sql, data, ruby, react |
Developed a predictive model for one of the biggest insurance companies in the US, using Python, R, Github and Shiny, leveraging generalized additive models, clustering, and various data imputation techniques to improve the hiring process of sales representatives at the company. The purpose of the project was to predict the future sales performance of a candidate if hired, in order to hire those candidates that will generate higher revenue over time. | 2Data Scientist
| ml frameworks, r, vba, scikit-learn, dash, python, microsoft excel, powerbi, shiny, github, visualization, time series |
Developed a complete self-service ETL system on Kubernetes using Rundeck, Jupyter, Presto, and Spark. | 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 |
Developed models and analysis on independent sellers using Python, SQL, GCP, Sklearn, KMeans, DBSCAN, Pandas, Spacy, NLTK and Gensim, enabling the creation of a top performing sellers rewards program to boost sales and improve performance for a Brazilian private e-commerce company marketplace. Applied natural language processing (NLP) models and techniques to identify and cluster the main subjects in unlabeled text data from the customer service center. Clustered independent sellers using RFM (Recency, Frequency & Monetary Value) concept to identify best seller performers. | 2Data Scientist
| hyperopt, numpy, lightgbm, apache spark, spacy, sas, pandas, databases, spark, python, git, powerbi, pycaret, gcp, nltk, time series, ml frameworks, vba, seaborn, keras, sql, dynamodb, visualization, mlflow, aws ec2, tensorflow, xgboost, google bigquery, r, streamlit, nlp, facebook prophet, prophet, azure, pyspark, microsoft excel, matplotlib, decision making, azure devops, linux, plotly, aws, statsmodels, databricks, evidently, aws redshift, sagemaker, scikit-learn, scipy, google data studio, data |
Developed ETL tools to automatically explain and improve the company’s algorithms to prospective external clients. | 1Data Analyst
| pytorch, lightgbm, apache spark, trax, c#, tableau, databases, spark, jenkins, javascript, snowpark, apache cassandra, python, github, gcp, alation, selenium, aws emr, jax, ml frameworks, node.js, snowflake, mongodb, seaborn, apache airflow, sql, tidyverse, visualization, pydata, arrow, tensorflow, express.js, xgboost, google cloud storage, r, postgresql, matlab, docker, matplotlib, mysql, fastapi, plotly, aws, java, pydata stack, aws redshift, windows, sagemaker, ggplot2, scikit-learn, dbt, flask, airflow, aws s3, data, github actions |
Enabled big data analyses of more than 10 Million rows using Pandas and presented results in Power BI (Dax and M) to analyze customer satisfaction and understand the effect of call center usage. | 2Data Scientist
| aws ec2, numpy, ibm, sql server, transformers, databases, pandas, powerquery, beautifulsoup, nlp, dax, sqlalchemy, azure, python, microsoft excel, powerbi, selenium, roberta, aws, ml frameworks, spss, power query, azure sql, sql, data, visualization, beautiful soup, dbscan |
Enabled self service deployment and management of SQL based workflows and data quality checks for the analytics team and improving observability and performance reporting for the engineering team at a luxury furniture manufacturer. | 0Data Engineer
| pytorch, apache spark, bitbucket, circleci, snaplogic, spark, javascript, kubernetes, python, powerbi, gcp, time series, angular, node.js, snowflake, aws glue, nodejs, apache airflow, splunk, planning, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, graphql, google bigquery, facebook prophet, aws sns, docker, astronomer, fivetran, decision making, aws, c, typescript, databricks, aws redshift, scikit-learn, dbt, flask, airflow, aws s3, memsql data, redshift, scrum, aws mwaa |
Optimized fuel consumption in mining trucks for a PeruvianChilean mining company, leading to annual savings of $260k, by leveraging XGBoost and SHAP values to identify influential factors including operator conduction style and road conditions | 2Data Scientist
| other |
Built end to end sentiment voice assistant using Rasa Twilio and cloud technologies such as GCP and Azure; reduced to 90% the time gap in real life voice responses using Cloud storage and Twilio voice assistant framework. | 3Machine Learning Engineer
| numpy, google cloud storage, r, pandas, postgresql, aws sns, javascript, terraform, azure, pyspark, apache hadoop, python, docker, github, gcp, matplotlib, amazon redshift, aws rds, airflow visualization, plotly, statistics, aws, aws ecr, amazon rds, mongodb, dynamodb data, aws redshift, aws glue, scikit-learn, apache airflow, flask, aws s3, dash, github actions, hadoop, aws lambda |
Built ELT pipelines using Snowflake, SFTP and Fivetranto improve analytics capabilities and speed analysis for business decisions for one of the biggest furniture producers in the US. | 0Data Engineer
| aws ec2, tensorflow, bitbucket, pandas, bash, preset, postgresql, aws sns, javascript, terraform, pyspark, aws lambda, python, docker, github, aws glue crawler, mysql, aws rds, aws, matillion, node.js, software architecture, typescript, snowflake, google compute engine, aws redshift, aws glue, apache airflow, airflow, aws s3, data, jira, react |
Worked on over 60 microservices and 4 orchestrators written in NodeJS and Golang, using Typescript, and GraphQL to improve payment handling and operations for a British Fintech. | 4Software Engineer
| go, apache kafka, databases, bash, postgresql, javascript, prometheus, azure, kubernetes, docker, git, github, gcp, linux, golang, statistics, java, aws, nginx, gitlab, node.js, typescript, mongodb, aws redshift, redis, react |
Consumed and transformed streaming data to produce aggregated statistics, store data and create real-time dashboards using Python, AWS Kinesis, AWS S3. | 0Data Engineer
| feast, apache spark, tableau, pandas, jenkins, css, javascript, aws batch, python, git, github, gcp, angular, gitlab, html, aws glue, apache airflow, splunk, bigquery, sql, tablea, dynamodb, c++, mlflow, airbyte, aws lambda, google dataproc, aws ec2, aws dynamodb, gitlab ci, express.js, sql server, nlp, great expectations, postgresql, aws sns, terraform, aws eks, matlab, pyspark, docker, microsoft excel, design patterns, visual basic, mysql, aws rds, vs code, linux, statistics, aws, java, aws step functions, databricks, mssql, aws redshift, dbt, ms sql, aws s3, dataproc, data, pytest, github actions, aws kinesis |
Built a tool using Selenium Web Driver, Python, Bash, and Docker to automatically execute regression tests to evaluate the impact of change on risk metrics, enabling the bank to run two different risk-calculation code versions and assess the difference in the measures. | 4Software 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 |
Collected requirements from end users and stakeholders. | 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 different predictive models with Machine Learning in Python with Flask, PostgreSQL, and Web Frameworks, in order to classify and create action plans for students with low educational level and at risk of dropping out in a Chilean university. | 3Machine Learning Engineer
| other |
Built reports and dashboards using Tableau for several business use cases. | 1Data Analyst
| other |
I participated in the launching of three major projects involving traffic equipment data modeling, vehicle classification, and image quality classification. In these projects, I used mostly Python for the ETL, including prediction-making processes and model evaluations, and Kafka and Airflow for the Architecture Infrastructure. For the Image Classification, various Python frameworks were used, such as TensorFlow and OpenCV. | 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 |
Contributed to the development of IpeaGEO, a spatial statistics software in C, by implementing new models and methods. This expanded the scope of features that IpeaGEO can perform, enhancing its utility and functionality. | 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 |
Worked closely with the Software Engineering team to develop AI-powered microservices architecture based on asynchronous messages in a flagging system. | 2Data Scientist
| other |
Designed recommendation engines with machine learning algorithms using AWS EMR and Jupyter Notebooks. | 2Data Scientist
| 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 |
Increased revenue by USD$100K by identifying urban areas of opportunities with high customer potential. | 5Analytics Engineer
| 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 |
Collaborated with the development team at Folha Dirigida, a country-wide known newspaper specializing in public administration information and public tenders, to execute the migration seamlessly. | 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 |
Built a data warehouse that enabled sales statistics, product performance, and product review data from an e-commerce public dataset stored in an Amazon S3 bucket to be available for insights and analytics generation. Used Snowflake Snowpipe to extract data from S3 bucket into Snowflake and SQL queries on the Snowflake worksheet to resolve business questions. | 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 the first online biometric authentication exam tool developed by a public university in Colombia using technology from GITA Lab, React, Electron, Tensorflow, FastAPI, Docker, and AWS API Gateway, DynamoDB and EC2. Implemented a traininginference pipeline with FaceNet model to perform biometric analysis using facial landmarks. Additionally, a proprietary model for speech was used along with the facial expression model to train a GMM to detect plagiarism in online exams. | 3Machine Learning Engineer
| 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 |
Worked as a consultant, having major contributions to the following projects : | 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 |
Performed data exploration and processing via Hadoop and Azure to uncover insights for the bank’s analytics 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 |
Developed and maintained data analytics projects on Google Cloud Platform using App Engine, Big Query Transfer, Datastore, Big Query, and Cloud Data Studio, ensuring optimal performance and reliability. | 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 |
Represented Medellin, chosen by Universidad EAFIT Head of Engineering Department, on the Ministry of Technology’s first annual data science educational program. | 2Data Scientist
| apache spark, kafka, apache kafka, javascript, python, git, structured streaming, powerbi, gcp, nltk, ml frameworks, snowflake, delta lake, seaborn, apache airflow, sql, visualization, redshiftdata, aws dms, spark structured streaming, aws lambda, r, nlp, great expectations, postgresql, sqlalchemy, docker, matplotlib, mysql, snowsight, linux, aws, statsmodels, raspberry pi, databricks, scikit-learn, databricks jobs api, flask, gensim, airflow, aws s3, delta live tables |
Led a team of machine learning engineers to develop multiple anomaly detection algorithms for a computer network monitoring company to predict failures and reduce false positives in software and hardware on their client’s networks based on a large amount of streaming text data. | 3Machine Learning Engineer
| hyperopt, , pytorch, aws cloudformation, financial, actuarial, javascript, aws batch, universidad de los andes, built a model for loan default prediction, s3 and airflow to collect job postings from websites and public apis, powerbi, senior machine learning engineer, aws emr, aws athena, implemented a portfolio-construction plus backtest system for 11 poc partnerships., ai product manager nanodegree, designed and managed the connection of the front-end product with financial back-end data necessities., built data pipelines using spark on aws emr and feature engineering for a state-of-the-art recommender system, and deep learning to optimize vehicle allocation for a mobility-as-a-service, developed quantitative methodologies to calculate risk-return properties of global assets to construct efficient portfolios., calculated and managed life insurance policy reserves for 5 life insurance, aws glue, seaborn, university of bonn, keras, implemented financial functions to keep track of, movii feb 2019, sql, dynamodb, c++, developed market execution rules and algorithms on 4 different markets to optimize, express del futuro july 2018, bsc, mathematical finance., tensorflow, mathematics, kinesis, developed an identity fraud detection model for a fintech company with, financial mathematics lead, built a data warehouse for the company, postgresql, prophet, sqlalchemy, matlab, docker, led a team of 6 people in the financial mathematics branch of the company., microsoft excel, vue, matplotlib, latex, which was accepted and ranked, data science, alkanza inc jan 2017, built optimized portfolios for clients from 8 business partnerships in the u.s., fastapi, developed quantitative investment strategies and short-term tactics for 5 fixed income mutual funds and 4 equity mutual funds., databricks, integrating 5 different sources of data., developed job crawler using python, octave, financial mathematics senior analyst, scikit-learn, certified trader on derivatives and fixed income and equity mutual funds, led the data analytics team, developed customer segmentation program for financial inclusion based on transactional data and in-app behavior., sarima, aws kinesis, scikit-learn go package, implicit strong convergence schemes for stochastic differential equations without global lipschitz coefficients.specialization in stochastic analysis, apache spark, tableau, apache kafka, quantitative analyst, brazil and colombia, assisted in the design of 4 back-end services to run data-driven analyses on, as well as the profitability of the bidding prices., certificate of international competence icc, advised on the financial statistics side for the economic offer of the company on the public tender for the operation of 6 public transport routes of the city of bogotá., python, github, nltk, time series, profesionales de bolsa - stockbroker feb 2014, implemented and analyzed the complexity of statistical tests and algorithms for several downstream tasks in signal processing., ml frameworks, hyperopt for hyperparameter optimization and mlflow for experiment tracking. implemented a neural machine translation, mexico, rocksdb, mongodb, apache airflow, revisited the financial model of the, developed and implemented the financial valuation model of the life insurance branch of the company., mlflow, including the deployment as a dockerized api in aws and an explainability framework on top of it., aws lambda, aws ec2, built dashboards that generated bidding, created business dashboards that showed customer behavior and helped managers make business decisions., alkanza inc feb 2016, go, bringing automated financial advisory to over 2, xgboost, r, streamlit, bash, nlp, facebook prophet, machine learning in finance, developed a proprietary collection of microservices for sentiment analysis and topic classification tasks using deep learning., mysql, education, plotly, statistics, java, aws, c, machine learning phd summer school, machine learning engineer nanodegree, airflow, vue js, factored may 2019, aws s3, dash, apache kafkavisualization, data, built a demand estimation model and a demand forecasting model using gradient boosting, old mutual holdings latam june 2015, exponential time smoothing |
Siamese vision transformer with cross-batch contrastive learning for image-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 |
Developed routines under AWS Serverless technologies (AWS Lambda). 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 |
Renewed data extraction (batch and real-time) methodologies and frameworks to include good practices related to data lakes and data warehouse building, data cleanliness and data quality control processes, data governance and information security definition and implementation, among others. | 0Data Engineer
| apache spark, kafka, oracle, tableau, apache kafka, spark, ibm db2, apache hadoop, python, microsoft sql, aws athena, aws emr, spss modeler, aws glue, apache airflow, azure storage account.data, sql, ssas, aws kinesis firehose, aws kinesis data streams, aws lambda, aws ec2, db2, ibm, netezza, aws spectrum, sql server, azure purview, ibm cognos, great expectations, postgresql, azure, pyspark, mysql, azure hdinsight, great expectations., ibm information server, aws, spss, azure sql, databricks, aws redshift, dbt, azure sql pool, cognos, databases sql database queries, aws s3, monte carlo, uipath, aws kinesis, azure data lake |
Enhanced traditional RPA solutions with artificial intelligence technologies such as AWS Textract, NLP and computer vision. | 0Data Engineer
| aws ecr., awards and certificatesorden al mérito académico javeriano award 2018, redshift., aws cloudformation, c#, tableau, award given to the student with the highest gpa of the promotion, databases, pandas, aws codedeploy, automation, ibm db2, pega robotics, python, git, smc, data engineering, github, aws codebuild, selenium, aws emr, aws athena, matillion, snowflake, ml, aws glue, apache airflow, planning, nosql, sql, dynamodb, visualization, c++, postgres, aws lambda, aws ec2, db2, ibm, sql server, r, blue prism, uipath., nlp, postgresql, aws sns, pyspark, matlab, sql., docker, aws ecs, delivered by coursera, fivetran, matplotlib, honorable, mysql, aws, deep learning specialization 2020 completed the deep learning specialization, c, matplotlib and tensorflow., offered by deeplearning.ai., aws redshift, scikit-learn, dbt, airflow, aws s3, rpa, data, uipath, github actions, scrum |
Analyzed transactional information to find opportunities in the improvement of quality indicators. | 1Data Analyst
| 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 |
Created a CONVERSE Billing systems adaptor using C++ and Erlang and an external interface gateways to the Value Added Systems Platform. This system was one of the building blocks of all the company’s offerings. | 4Software Engineer
| aws cloudformation, kafka, oracle, apache kafka, databases, datomic, jenkins, kubernetes, apache cassandra, python, git, gitlab, distributed systems, erlang, planning, sql, elasticsearch, aws api gateway, dynamodb, visualization, c++, aws cdk, aws ec2, go, aws cdk in typescript, postgresql, terraform, aws eks, ansible, aws cloudwatch, docker, cassandra, mysql, aws rds, swagger, linux, knime, aws, java, c, unix, typescript, lucidchart, data, grafana, clojure |
Wrote physical, logical, and conceptual data models using HDFS, PySpark, and Hadoop for the Cyber-Security Team to classify and assess the set of permission each user inside the organization needed based on responsibilities and business units. | 2Data Scientist
| hyperopt, lightgbm, apache spark, kafka, tableau, oracle, apache kafka, hdfs, databases, pandas, spark, apache hadoop, python, git, powerbi, gitlab, ml frameworks, matillion, tfx, sphinx, snowflake, mongodb, dbschema, soda, apache airflow, keras, tensorflow serving, sql, visualization, django, aws ec2, tensorflow, xgboost, google bigquery, sql server, r, postgresql, azure, pyspark, docker, decision making, azure devops, mysql, statistics, java, aws, opencv, azure sql, aws redshift, scikit-learn, flask, airflow, scipy, data, hadoop, computer vision |
Refactored the Looker structure to boost performance and ensure data consistency, correcting calculation errors and reducing the time to load the company’s most important dashboards by 80% for the Analytics team. | 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 |
Created a 360 view for the customers to have their perspective about transactions and balances, for digital wallets, using Snowflake, and PowerBI for a financial company. | 1Data Analyst
| apache spark, c#, tableau, oracle, cassandra., databases, spark, sql server stack, apache cassandra, python, git, looker, powerbi, -, aws services, data modeling, rds, aws athena, ml frameworks, athena, matillion, snowflake, aws glue, sql, dynamodb, ssas, visualization, postgres, teamwork, vb.net, aws ec2, ibm, sql server, visual fox, step, postgresql, aurora, aws aurora, pyspark, microstrategy, mysql, aws rds, knime, aws quicksight, aws, sqlite, apache nifi, aws redshift, sagemaker, datastage, cognos, aws s3, google data studio, data |
Built a one-stage object detector using the deep learning YOLOv4 model and served it through a Dockerized API deployed in AWS. | 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 |
Maintained and optmized, as Data Engineer Lead, data products for processes and operation for data analyst, data scientist, and product engineers of a large financial company in Latam. | 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 |
Coordinated with core flow teams about new and current flow changes needed for new products. | 4Software Engineer
| other |
Implemented ETLs on Azure Data Factory, and performed database model building, BI reporting, and predictive analysis. | 1Data Analyst
| 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 |
Script automation in Python to manipulate, transform and ingest data from CSV files to legacy system. Area leader estimated R$100,000.00 saved in costs (personhour) and usage of good data for an agribusiness | 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 |
Created a feature engineering framework in Python to use Spark Engine. | 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 |
Led the architecture and development of Big Data, data science, and data engineering projects, architecting on-premises and cloud solutions with cloud and open-source tools. | 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 |
Identified imminent tin mill stops at a Peruvian mining company by applying an LSTM model to time series data from 32 sensors and using Python and Databricks, enabling operators to prevent costly disruptions, resulting in savings of $40k per occurrence. | 2Data Scientist
| other |
Created a command-line application to monitor non-SNMP-enabled PBXs via SSHTelnet and route them to a MOM (CA Spectrum) using Python. | 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 |
SQL optimization which reduces memory requirements in multiple SQL processes. | 2Data Scientist
| other |
Analyzed, designed and implemented an automated business solution for the management of visitors to the plant, allowing time and activity control thereof using BPM Metastorm and SQL Server. | 1Data Analyst
| numpy, oracle, universidad de san buenaventura, mongodb developer and administrator, hive, microsoft certified technology specialist .net framework 3.5 asp.net applications, synapse, part of the pmo team using asp.net, git, apache storm, eclipse debugging techniques and tricks, universidad internacional de valencia, data modeling, aws emr, angular, implementation and maintenance, jupyter, yarn, scrum master certified expert, azure data factory, prestosql, snowflake, big data and data science, microsoft certified technology specialist sql server 2008, aws glue, apache impala, nosql, analyzed, training and live output for the sap casa 2008 project, sql, itil foundations v3, sap, apache spark 2.0 with scala on with big data, courses, sql server integration services, bigml, terraform, python for data analysis and visualization, azure, azure synapse, aws cloudwatch, integration test, pmp, microsoft certified professional, databricks, jupyter notebook, complete python bootcamp, aws redshift, scikit-learn, metastorm business process management v9 delta, sklearn for predictive data analysis, itil, using bigml, hadoop, and statsmodels to develop statistical models.bsc, azure data lake, apache spark, hdfs, tableau, apache kafka, sqoop, pandas, scrum master, big data hadoop architect master, qlik, spark, azure blob storage, apache hadoop, python, apache cassandra, ektron cms developer, drugs and weapons in the city of madrid, ssrs, gitlab, hue, ml frameworks, software architecture, mongodb, generated indicators in the execution phases, javascriptdatabases, apache airflow, big-data and hadoop developer, scala, visualization, .net, impala-sql engine for hadoop, apache ranger, angular 4, go, sql server, zeppelin, developed and implemented a hazardous materials management solution used in the company using asp and sql server, eclipse, pyspark, bpm, systems engineering, analyzed influential factors in crimes related to consumption of alcohol, mysql, education, aws, java, ranger, apache hive, asp.net, airflow, aws s3, presto, data, designed, aws big data speciality |
Created a workflow to label images using LabelStudio, AWS S3 and a Databricks job to load, annotate and download the image annotations to be ready for model training. | 2Data Scientist
| pytorch, typer, fargate, numpy, apache spark, tableau, databases, pandas, spark, javascript, cloud sql, python, git, node, powerbi, github, gcp, programming, huggingface, python libraries and, delta tables, cloud, ml frameworks, dataabricks, html, reactjs, react, apache airflow, sql, shap, dynamodb, visualization, mlflow, angularjs, sigma, aws ec2, aws fargate, tensorflow, nlp, postgresql, pyspark, neptune.ai, docker, microsoft excel, aws ecs, mysql, hugging face, ecr, fastapi, aws, ecs, aws ecr, raspberry pi, databricks, aws redshift, scikit-learn, dbt, flask, airflow, aws s3, dash, data, s3, redshift, computer vision, sckit-learn |
Mined data from separate data stores and used deep learning techniques to find variables that were correlated to flower sales and waste. | 4Software 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 |
Administered the Data infrastructure for OLTP and OLAP processes using AWS DynamoDB, RDS (PostgreSQL & MySQL) and EC2, also used GitHub Actions, Jenkins and AWS Database Migration Service as a CICD tools. | 5Analytics Engineer
| apache spark, circleci, labview, jenkins, javascript, apache cassandra, python, git, github, gcp, alation, rds, aws emr, ml frameworks, node.js, snowflake, leadership, nodejs, apache airflow, planning, sql, aws sagemaker, dynamodb, c++, nexla, aws ec2, google bigquery, bash, postgresql, terraform, docker, latex, mysql, aws rds, fastapi, linux, aws, typescript, aws redshift, sagemaker, scikit-learn, dbt, shell scripts, data, github actions, aws kinesis, redshift, computer vision |
Leveraged TF-IDF and preprocessing techniques to craft robust and consistent datasets for the training and validation of multiple NLP models with the objective of developing a reliable benchmark for language generation. | 3Machine Learning Engineer
| apache spark, rest api, databases, pandas, kubernetes, python, git, pyplot, aws athena, time series, ml frameworks, seaborn, alert manager, apache airflow, databricksvisualization, keras, sql, aws ec2, db2, go, tensorflow, quicksight, aws recognition, bash, nlp, prometheus, sharp, docker, aws ecs, aws sdk, fastapi, linux, aws quicksight, golang, aws, databricks, sagemaker, flask, airflow, scipy, data, grafana, zabbix, computer vision |
Defined key metrics to assess the performance of different departments of the business. | 1Data Analyst
| sap, power automate, tableau, microsoft word, pandas, jinja, python, git, sharepoint, microsoft excel, powerbi, github, decision making, sap business objects data services, sap business objects web, vs code, microsoft power point, ms excel, minitab visualization, snowflake, mssql, oracle data, dbt, apache airflow, ms sql, planning, sql, sap business objects bi, matlab databases, power apps, sigma |
Developed and updated reports and dashboards for the Customer Service Team | 1Data Analyst
| daily sales, customer service processes, tableau, business intelligence, databases, finance domain, alignment process, agile, technological tools, matlab and visual basic., matlab, fintech, business reporting, python, business strategy, power bi and spotfire., powerbi, data modeling, business intelligence tools, visual basic, finance data mart, programming, ml frameworks, top management, financial metrics, spotfire, ai, massive datasets, profitable growth, competition analysis, strategic business, implementing business intelligence, sql, operational processes, data, data validation, visualization |
Recalibrated and analyzed expected loss models under IFRS9. | 2Data Scientist
| other |
Applied statistical analysis to ad-hoc studies about the campus using SAS and Oracle to bring insights and suggest planned actions. | 1Data Analyst
| 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 |
Developed and deployed a text assistant using novel NLP techniques. | 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 |
Performed model validations using Python and R, and leveraging on histograms and statistics to analyse distributions to guarantee the quality and integrity of the models created by other teams and the data they are trained upon for one of the biggest insurance companies in the US. | 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 |
Maintained a monolith JAVA distributed EC2 system and its 16-node Cassandra cluster, allowing it to support 2M requests per minute during Black Friday for the e-commerce department. | 0Data Engineer
| aws ec2, luigi, apache spark, kafka, c#, sql server, apache kafka, databases, spark, prometheus, terraform, kubernetes, pyspark, ansible, apache cassandra, python, apache hadoop, cassandra, mysql, gitlab, java, aws, databricks, chef, mesos, apache airflow, redis, airflow, scala, sql, elasticsearch, data, grafana, dynamodb, visualization, jira, hadoop, delta lake |
Led the software development team of 35 developers for one of Mexicos leading online job boards. | 4Software Engineer
| data and visualization, numpy, c#, tableau, databases, pandas, javascript, python, git, gcp, huggingface, aws athena, nltk, time series, ml frameworks, ggplot, jupyter, ms sql server, mongodb, seaborn, keras, ruby on rails, sql, tidyverse, elasticsearch, c++, vb.net, metabase, aws lambda, neo4j, aws fargate, tensorflow, sql server, r, bash, nlp, azure, aws cloudwatch, docker, aws ecs, matplotlib, sqlserver, mysql, linux, java, aws, aws cloudfront, c, opencv, azure sql, jupyter notebook, mssql, windows, scikit-learn, asp.net, flask, aws s3, rust, ruby, react |
Implemented a real-time, NLP-based anomaly detection model that predicts syslog message anomalies. This was done by creating an ML package in Golang using density-based unsupervised learning methods on text embeddings, generating a streaming anomalies predictor. | 3Machine Learning Engineer
| hyperopt, , pytorch, aws cloudformation, financial, actuarial, javascript, aws batch, universidad de los andes, built a model for loan default prediction, s3 and airflow to collect job postings from websites and public apis, powerbi, senior machine learning engineer, aws emr, aws athena, implemented a portfolio-construction plus backtest system for 11 poc partnerships., ai product manager nanodegree, designed and managed the connection of the front-end product with financial back-end data necessities., built data pipelines using spark on aws emr and feature engineering for a state-of-the-art recommender system, and deep learning to optimize vehicle allocation for a mobility-as-a-service, developed quantitative methodologies to calculate risk-return properties of global assets to construct efficient portfolios., calculated and managed life insurance policy reserves for 5 life insurance, aws glue, seaborn, university of bonn, keras, implemented financial functions to keep track of, movii feb 2019, sql, dynamodb, c++, developed market execution rules and algorithms on 4 different markets to optimize, express del futuro july 2018, bsc, mathematical finance., tensorflow, mathematics, kinesis, developed an identity fraud detection model for a fintech company with, financial mathematics lead, built a data warehouse for the company, postgresql, prophet, sqlalchemy, matlab, docker, led a team of 6 people in the financial mathematics branch of the company., microsoft excel, vue, matplotlib, latex, which was accepted and ranked, data science, alkanza inc jan 2017, built optimized portfolios for clients from 8 business partnerships in the u.s., fastapi, developed quantitative investment strategies and short-term tactics for 5 fixed income mutual funds and 4 equity mutual funds., databricks, integrating 5 different sources of data., developed job crawler using python, octave, financial mathematics senior analyst, scikit-learn, certified trader on derivatives and fixed income and equity mutual funds, led the data analytics team, developed customer segmentation program for financial inclusion based on transactional data and in-app behavior., sarima, aws kinesis, scikit-learn go package, implicit strong convergence schemes for stochastic differential equations without global lipschitz coefficients.specialization in stochastic analysis, apache spark, tableau, apache kafka, quantitative analyst, brazil and colombia, assisted in the design of 4 back-end services to run data-driven analyses on, as well as the profitability of the bidding prices., certificate of international competence icc, advised on the financial statistics side for the economic offer of the company on the public tender for the operation of 6 public transport routes of the city of bogotá., python, github, nltk, time series, profesionales de bolsa - stockbroker feb 2014, implemented and analyzed the complexity of statistical tests and algorithms for several downstream tasks in signal processing., ml frameworks, hyperopt for hyperparameter optimization and mlflow for experiment tracking. implemented a neural machine translation, mexico, rocksdb, mongodb, apache airflow, revisited the financial model of the, developed and implemented the financial valuation model of the life insurance branch of the company., mlflow, including the deployment as a dockerized api in aws and an explainability framework on top of it., aws lambda, aws ec2, built dashboards that generated bidding, created business dashboards that showed customer behavior and helped managers make business decisions., alkanza inc feb 2016, go, bringing automated financial advisory to over 2, xgboost, r, streamlit, bash, nlp, facebook prophet, machine learning in finance, developed a proprietary collection of microservices for sentiment analysis and topic classification tasks using deep learning., mysql, education, plotly, statistics, java, aws, c, machine learning phd summer school, machine learning engineer nanodegree, airflow, vue js, factored may 2019, aws s3, dash, apache kafkavisualization, data, built a demand estimation model and a demand forecasting model using gradient boosting, old mutual holdings latam june 2015, exponential time smoothing |
Deployed an automated data pipeline for extractingscraping info from CS sites. | 3Machine Learning Engineer
| other |
Led technical reviews related to Python, Kubernetes, Airflow, MLFlow, and Kubeflow to guarantee the right architecture and production of each model created by the Data Science team. | 2Data Scientist
| sap, numpy, tensorflow, oracle, kubeflow, microsoft word, databases, pandas, dataflow, nlp, postgresql, kubernetes, matlab, python, docker, nltk, linux, aws, ml frameworks, jupyter, c, jupyter notebook, seaborn, scikit-learn, google vertex ai, apache airflow, shell scripts, keras, flask, airflow, sql, data, arduino, mlflow |
Built canonical data models in DBT to be reused as a single source of truth by different teams and members of a technology company focused on offering on-demand professional photography booking services. | 2Data Scientist
| pytorch, numpy, postico, databases, pandas, labview, popsql, javascript, python, shiny, gcp, simulink, ml frameworks, jupyter, seaborn, keras, planning, bigquery, sql, visualization, prioritization, metabase, tensorflow, xgboost, r, streamlit, postgresql, azure, matlab, decision making, latex, fastapi, linux, plotly, opencv, azure sql, microsoft azure, jupyter notebook, octave, scikit-learn, dbt, scipy, data, computer vision |
Developed dashboards for traffic equipment and contractual data analytics, using several Python libraries, including NumPy and Pandas for data processing, Plotly and Mapbox por data visualization, and the Streamlit framework to build an app for the interactive dashboards. | 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 |
Led multiple presentations and meetings focused on explaining the key points behind logistics expenses to different business division managers, using data visualization with Tableau and Power BI. | 1Data Analyst
| sap, aws, google bigquery, tableau, sql server, snowflake, databases, dbt, sap business objects, sql, python, google data studio, data, microsoft excel, powerbi, visualization |
Implemented a back-end application to detect possible loan defaults applying gradient-boosting models. Deployed the app using Docker with AWS ECR and AWS Lambda. Used Shap values to explain and analyze the impact of the different features on the predictions. | 3Machine Learning Engineer
| pytorch, apache spark, kafka, apache kafka, databases, pandas, javascript, aws batch, python, huggingface, ml frameworks, gin-gonic, keras, sql, shap, c++, mlflow, django, aws lambda, go, tensorflow, svelte, nlp, postgresql, aws sns, terraform, pyspark, docker, aws ecs, fastapi, golang, java, aws, aws ecr, c, typescript, databricks, aws redshift, aws s3, data, computer vision |
Built an income estimation model using XGBoost based on transactional variables and labor-related activities. | 2Data Scientist
| pytorch, statistics, tensorflow, xgboost, oracle, google bigquery, r, ownership, ml, stata, eview, planning, sql, python, data, gcp, latex, time series |
Developed ETL projects in SSIS for process automation, reducing manual effort for the data management team of a 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 |
Created a ML algorithm using R and Python, predicting deforestation using satellite images to determine the optimal incentives the government should give to the landlords for them to protect the environment in Mexico. | 1Data Analyst
| ml frameworks, r, vba, scikit-learn, dash, python, microsoft excel, powerbi, shiny, github, visualization, time series |
Created dashboards in tableau to monitor relevant company indicators. | 1Data Analyst
| 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 |
Developed KPI dashboards, including estimate confidence intervals and CUPED, to reduce statistical uncertainty to help and accelerate decision-making, using PySpark to get experiment data and ggplot2 as a visualization tool in Databricks. | 2Data Scientist
| caret, lightgbm, apache spark, r, databases, swift, nlp, spark, raster, pyspark, microsoft office, looker, python, git, microsoft excel, shiny, matplotlib, decision making, time series, plotly, statistics, ml frameworks, microsoft power point, databricks, vscode, jupyter notebook, seaborn, ggplot2, scikit-learn, bigquery, sql, shap, data, visualization, microsoft powerpoint |
Researched on papers to identify good practices and successful cases in the industry. | 2Data Scientist
| pytorch, statistics, tensorflow, xgboost, oracle, google bigquery, r, ownership, ml, stata, eview, planning, sql, python, data, gcp, latex, time series |
Enhanced the development and deployment process by incorporating Docker, which facilitated seamless application testing and deployment across various environments, again tailored to the specific needs of the client, the government agency. | 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 |
Assisted a chatbot that scanned through hundreds of documents to provide fast answers to internal financial institution employees based on Dialog Flow and Elasticsearch. | 6Full-Stack 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 |
Exposed causal inference models on APIs for consumption by the engineering team to include smart promotion recommendations inside the restaurant management app using Flask and Statsmodels. | 0Data Engineer
| pytorch, apache spark, bitbucket, circleci, snaplogic, spark, javascript, kubernetes, python, powerbi, gcp, time series, angular, node.js, snowflake, aws glue, nodejs, apache airflow, splunk, planning, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, graphql, google bigquery, facebook prophet, aws sns, docker, astronomer, fivetran, decision making, aws, c, typescript, databricks, aws redshift, scikit-learn, dbt, flask, airflow, aws s3, memsql data, redshift, scrum, aws mwaa |
Interfaced industrial-grade cameras from the imaging source for image acquisition testing, utilizing the triggering and IO capabilities. The software was written in C and C++. | 4Software 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 |
Deployed and trained a credit default model using FastAPI as the framework for the backend, Docker and AWS EC2 for the deployment. For the modeling part, the experiments creation was automated by implementing a command line interface application where the user set up the hyperparameters and data sources to use. The app trained the model and saved the metrics on a CSV file. As a result, users could run experiments much faster and compare the models metrics quickly. | 2Data Scientist
| pytorch, typer, fargate, numpy, apache spark, tableau, databases, pandas, spark, javascript, cloud sql, python, git, node, powerbi, github, gcp, programming, huggingface, python libraries and, delta tables, cloud, ml frameworks, dataabricks, html, reactjs, react, apache airflow, sql, shap, dynamodb, visualization, mlflow, angularjs, sigma, aws ec2, aws fargate, tensorflow, nlp, postgresql, pyspark, neptune.ai, docker, microsoft excel, aws ecs, mysql, hugging face, ecr, fastapi, aws, ecs, aws ecr, raspberry pi, databricks, aws redshift, scikit-learn, dbt, flask, airflow, aws s3, dash, data, s3, redshift, computer vision, sckit-learn |
Implemented and tested website accessibility following WCAG 2.0 standards, ensuring inclusivity and legal compliance. | 4Software Engineer
| apache spark, tableau, databases, pandas, postgresql, collaboration, jinja, azure, looker, python, git, powerbi, aws ecs, matplotlib, decision making, azure devops, aws, ml frameworks, azure data factory, databricks, snowflake, dbt, aws sqs, aws s3, aws eventbridge, data, dynamodb, visualization, airbyte, metabase |
Collected data from multiple sources using Python Scripts, Lambda, and EC2 and loaded using AWS Athena to make it available for the data scientist team in AWS S3 data lake. | 1Data Analyst
| 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 |