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Performed exploratory data analysis and utilized clustering techniques to create new categories for regular and promotional prices within a dataset of new products and core products of an American multinational consumer products company. | 1Data Analyst
| qlikview, teradata, apache spark, oracle, tableau, databases, pandas, powerquery, dax, apache hadoop, python, powerbi, alation, miro, snowflake, microsoft project, seaborn, databricksvisualization, sql, microsoft visio, trello, ibm, tensorflow, domo, netezza, r, bash, collaboration, power bi, microsoft excel, matplotlib, asana, linux, plotly, c, databricks, ggplot2, shell scripts, redash, dash, google data studio, data, jira, leadership |
Integrated healthcare ML approaches on the existing platform. | 0Data Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Automated an ETL pipeline to extract marketing campaigns data from Campaign Monitor platform of a top worldwide marketing agency using an API and store it into MS SQL database. | 1Data Analyst
| 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 |
Generated a module on Data Exploration and Data Sanity Checks and successfully delivered it to the Data Engineering team. | 2Data Scientist
| other |
Created CICD pipeline for chatbot product. | 4Software Engineer
| other |
Developed basketball court visualizations in R to analyze, visualize and track data of athletes performance during basketball matches. | 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 |
Worked with IoT sensor networks such as ZigBee, BLE and Wifi and programming languages such as Node JS and Java, and databases such as MongoDB. | 3Machine Learning 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 |
Created financial analytics Tableau dashboard using SaaS financial metrics like MRR, NDR, GDR, logo retention, among other KPIs. | 1Data Analyst
| aws ec2, numpy, tensorflow, spacy, xgboost, tableau, pandas, talent stitch, postgresql, salesforce, matlab, python, power bi, powerbi, github, sql serveranalysisservices, matplotlib, decision making, mysql, plotly, aws, ml frameworks, snowflake, scikit-learn, dbt, sql, data, visualization, google sheets, metabase |
Decomposed requirements and structured them as software definitions of internal or external applications. | 4Software Engineer
| other |
Developed a managerial dashboard using Power BI, including an automated process to send daily email snapshot reports to business stakeholders of a global banking institution (using R, when that wasnt a feature of PowerBI yet). This monitoring helped the team significantly increase the banks online media revenue, and the bank gave a prize to the team for the project. | 1Data Analyst
| teradata, jupyter notebooks, oracle, tableau, adobe analytics, sas, ms, looker, python, git, powerbi, github, data modeling, googlecloud, microsoft power point, snowflake, mongodb, qgis, knowledge of, bigquery, sql, visualization, amazon quicksight, r, bash, zeppelin, postgresql, power bi, microsoft excel, decision making, mysql, aws quicksight, statistics, aws, spss, jupyter notebook, aws redshift, dbt, redash, amazon, aws s3, data |
Helped with testing, prototyping, exploring, and discovering new insights on the companys products in order to deliver better user experiences and great products using AWS, various programming languages, technologies, and architectures. | 4Software Engineer
| decrease, data in a very intense batch job., apache spark, kafka, oracle, rest api, apache kafka, kubeflow, i was asked to design and build tools to improve citizens relationship, databases, with government, performance, spark, jenkins, javascript, bureaucracy and other key aspects to improve government efficiency., kubernetes, microsoft office, writing applications with a good design to be delivered continuously and follow deployment status to other teams, python, software engineer, using java related technologies, senior software engineer, my tasks were related to deliver solutions that would help, my main tasks were, gitlab, ml frameworks, programs to decrease debts, software architecture, people across the state., snowflake, applying multithreading techniques, pulsar, apache airflow, applying best practices and selecting tools that help developing and delivering applications in a fast-paced and reliable way.
programming, softtek jan 2012, scala, acting mainly as an integration architect inside one of the great retailers on brazil, resource it solutions jan 2013, visualization, mlflow, metabase, sigma, go, working for a state sponsored company, magna sistemas sep 2013, postgresql, the team were able to almost double the throughput of processed, azure, delivered solutions to support a large number of accesses by users worldwide, using an agile methodology and java for a large financial company., process and transform external data delivered by third-party providers into useful, mysql, golang, java, aws, data inside the customer. the main project was maintain a home made solution to integrate hr data, that later was replaced by a solution designed on oracle odi. ive participated designing the solution, applied tdd and architecture knowledge to increase code coverage, testing and fixing errors on odi scripts., deliver information, dbt, increase transparency, tech mahindra may 2014, redash, with a high availability and secure architecture is my current focus, airflow, aws s3, data, s3, related to receive, seldon |
Developed a complete ETL for capturing data from Spotify’s API and serving it in S3 and DynamoDB with AWS Lambda, Docker containers and Python. | 0Data Engineer
| oracle, tableau, sf, python, shiny, aws athena, oracle rdbms, vba, aws glue, apache airflowvisualization, qgis, mysql aws dynamodb, sql, aws api gateway, dynamodb, prioritization, aws lambda, aws ec2, domo, r, bash, postgresql, scrapy, terraform, pyspark, docker, aws ecs, aws iam, mysql, aws rds, statistics, aws, aws ecr, aws redshift, dbt, gdal, aws s3, dash, data, serverless |
Created data quality checks using Great Expectations and Snowflake to identify errors in data vs on data standards, assuring accurate dataflows on ETL processes. | 0Data Engineer
| apache spark, kafka, apache kafka, databases, python, powerbi, github, gcp, data modeling, aws emr, node.js, snowflake, apache hudi, mongodb, aws glue, google big query, apache airflow, splunk, sql, dynamodb, sharepoint, aws lambda, aws ec2, aws dynamodb, sap, apache iceberg, google cloud storage, google bigquery, r, great expectations, postgresql, aws sns, terraform, docker, aws rds, java, aws, aws step functions, data studio, databricks, aws redshift, dbt, time management, aws s3, data, github actions, aws kinesis, delta lake, react |
Deployed REST API on AWS ECS using Docker and FastAPI, containing the model and the ETL pipeline. | 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 |
Built loan default prediction solution utilizing Random Forest and XGBoost models, SHAP, MLflow, AWS EC2, and Optuna to empower financial institutions to assess loan applications and make informed approvalrejection decisions. Implemented with FastAPI, Docker, and deployed on AWS Lambda. | 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 |
Developed model infrastructure and functional web applications features (storage solution, in-house serialization, and serving). Hosted the solution within a GCP Kubernetes Cluster, automated deployment process using Jenkins and Artifacts Registry solutions, and built main codebase and structures using OOP to optimize performance over large amounts of data transformations. | 3Machine Learning Engineer
| pytorch, numpy, apache spark, kubeflow, pandas, restful api, spark, css, jenkins, javascript, kubernetes, apache hadoop, python, git, github, gcp, iac, aws emr, unix shell.databases, html, node.js, snowflake, ml, gcp vertex ai, mongodb, seaborn, google vertex ai, apache airflow, shap, aws sagemaker, gcp dataproc, c++, mlflow, google dataproc, tensorflow, xgboost, streamlit, bentoml, nlp, postgresql, hdfsdata, matlab, docker, matplotlib, decision making, mysql, fastapi, statistics, aws, java, airflowvisualization, unix, knative, aws redshift, sagemaker, scikit-learn, flask, github actions, hadoop, express |
Conducted analyses of networks of financial flows among the bank’s customers. | 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 |
Added more features and modified the structure of stored procedures in SQL to maintain and optimize the code in order to adapt it to new circumstances in the data model. These changes reduced the dashboard feeding time from 45 minutes to less than a minute. | 1Data Analyst
| 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 |
Defined SQL Guidelines and implemented Dbt as query orchestrator running on Docker and triggered by Jenkins, to improve ETL pipelines performance, ensuring scalability and data consistency 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 |
Extracted data from recruitment, HCM and time attendance systems, using Python to allow data marts and their tables to be created, allowing its data to be used in analysis performed by the People and Culture department teams. | 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 |
Extracted data from SQL, using statistics tools and creating new policies considering the risk involved. | 1Data Analyst
| other |
Built micro front-end projects using ReactJS, Redux and Webpack 5 Module Federation in a cross-functional request to render several tools from other teams in the main tool. Successfully contributing to an easier UI for the sales department where they could find all the tools needed in one single front-end. | 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 dashboards and reports using data analytics techniques with SAS Visual Analytics to support business decisions and find powerful insights. | 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 |
Migrated legacy Javascript services to Golang, reducing the latency for about 40% from old services, and making the code more maintenance-friendly. | 4Software Engineer
| other |
Created an image retrieval engine by fine-tuning a CLIP-like contrastive-learning model with 200 million parameters using HuggingFace and Pytorch. A Vision Transformer encoded the vision, and a RoBERTa encoded the text. The app took either a text or an image as input, and it used an approximate neighbor search to identify and select the most similar images. | 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 |
Generated automated reports from API data using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions. Leveraged Serverless deployment. | 0Data Engineer
| aws ec2, aws dynamodb, tensorflow, apache spark, ml tools, pandas, postgresql, aws sns, terraform, pyspark, python, git, docker, microsoft excel, github, matplotlib, data modeling, aws emr, aws rds, aws, aws step functions, snowflake, aws redshift, aws glue, scikit-learn, dbt, apache airflow, keras, splunk, aws s3, sql, data, dynamodb, github actions, aws kinesis, airbyte, aws lambda |
Encouraged Power BI adoption within different departments and regions of the organization. Supported (a) Excel and Qlik reports migration to Power BI to centralize reports storage and manage, (b) data extraction and cleansing processes using SQL, Power Query and Alteryx, and (c) Power BI dashboards design, which improved reports democratization and enabled meaningful insight generation throughout the organization. | 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 |
Worked with Business Analysts to determine insights from marketing data in terms of popularity, geographical distribution and age range translating them into visualizations Tableau. | 1Data Analyst
| other |
Built and deployed an algorithm to model customer purchasing behavior for the largest delivery platform in Latin America. The model was built using Random Forests and Gradient Boosting techniques with XGBoost Library. Also, implemented a monitoring scheme to keep track of performance over time. | 5Analytics Engineer
| aws ec2, tensorflow, xgboost, ml tools, streamlit, transformers, databases, pandas, bash, nlp, python, docker, git, aws ecs, decision making, nltk, aws rds, fastapi, aws, node.js, snowflake, mongodb, nodejs, seaborn, scikit-learn, apache airflow, aws s3, sql, data, mlflow, aws lambda |
Implemented the creation of a new Postgres instance inside the infrastructure repository using Sceptre and Cloud Formation templates. Implemented a template that dynamically pulls encrypted secrets from SSM. | 0Data Engineer
| apache spark, aws cloudformation, oracle, sql servers, dax, spark, dax., cloud sql, python, git, powerbi, programming, rds, aws emr, cloud, gitlab, matillion, azure data factory, dbschema, apache airflow, big data processing, sql, visualization, aws lambda, sap, azure analysis services., bash, postgresql, azure, docker, azure data warehouse., aws rds, aws, lambda. azure data factory, gradle., azure sql, kotlin, aws redshift, aws s3, kotlin., power bi., redshift, emr, oracle dbs |
Carried out data migrations between ERP systems using SQL, text files, integration services, user requirements interviews, user training, and ERP customizations (Linux systems), for an IT brazilian consulting firm. | 1Data Analyst
| 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 |
My team applied machine learning techniques to help a CPG company gain important insights from their data. | 2Data Scientist
| pytorch, tableau, databases, javascript, convolutional neural networks, python, git, data engineering, javascript and r., churn prediction, ml frameworks, social media, advertising optimization, mongodb, dvc, research, apache airflow, sql, android app, visualization, research project, tensorflow, business intelligence, r, applied machine learning, public policy, data versioning with dvc, nlp, postgresql, collaboration, nlp model, machine learning, mongodb., fraud detection, machine translation, mysql, fastapi, statistics, java, ai, demand forecasting, reinforcement learning, fastapi., real-time bidding, flask, airflow, prediction, scikit-learn., data, satellite imagery, apache airflow., information retrieval, computer vision |
Developed a methodology to evaluate Language Model embeddings in job search using a modified version of the Semantic Textual Similarity benchmark adapted to the business needs. It was used within the teams of Australia, Asia, Brazil, and México to evaluate changes in the models, hyperparameter tuning, and comparison between models. | 2Data Scientist
| 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 |
Supported CICD activities in AWS using CloudFormation, Terraform, and internal DevOps frameworks. | 4Software Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Defined the design patterns required to build a NoSQL data-lake for computer processing and machine learning purposes using MongoDB, Pymongo and NLTK. | 6Full-Stack Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Created pipelines for extracting data from SAP solutions (CDC and SMC) using APIs and SCPI into the data lake of the corporation and analyzed the data extracted from those solutions to answer business questions and profile the corporations clients. Part of the projects needs was creating workflows with the ingested data using Nifi and Python. | 0Data Engineer
| other |
After this, application availability was greatly increased and remained up for almost 2 months without | 4Software Engineer
| decrease, data in a very intense batch job., apache spark, kafka, oracle, rest api, apache kafka, kubeflow, i was asked to design and build tools to improve citizens relationship, databases, with government, performance, spark, jenkins, javascript, bureaucracy and other key aspects to improve government efficiency., kubernetes, microsoft office, writing applications with a good design to be delivered continuously and follow deployment status to other teams, python, software engineer, using java related technologies, senior software engineer, my tasks were related to deliver solutions that would help, my main tasks were, gitlab, ml frameworks, programs to decrease debts, software architecture, people across the state., snowflake, applying multithreading techniques, pulsar, apache airflow, applying best practices and selecting tools that help developing and delivering applications in a fast-paced and reliable way.
programming, softtek jan 2012, scala, acting mainly as an integration architect inside one of the great retailers on brazil, resource it solutions jan 2013, visualization, mlflow, metabase, sigma, go, working for a state sponsored company, magna sistemas sep 2013, postgresql, the team were able to almost double the throughput of processed, azure, delivered solutions to support a large number of accesses by users worldwide, using an agile methodology and java for a large financial company., process and transform external data delivered by third-party providers into useful, mysql, golang, java, aws, data inside the customer. the main project was maintain a home made solution to integrate hr data, that later was replaced by a solution designed on oracle odi. ive participated designing the solution, applied tdd and architecture knowledge to increase code coverage, testing and fixing errors on odi scripts., deliver information, dbt, increase transparency, tech mahindra may 2014, redash, with a high availability and secure architecture is my current focus, airflow, aws s3, data, s3, related to receive, seldon |
Built visualization tools using Python, Javascript, Metabase, PopSQL, Postico, BigQuery, and PostgreSQL for KPIs tracking to generate insights to improve internal processes, data synchronization, company performance monitoring and product features (p.e matching between offer and demand) | 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 |
Created Spark scripts in Scala and Python to transfer data from legacy databases and generate reports. | 0Data Engineer
| apache spark, kafka, c#, oracle, hdfs, apache kafka, databases, bootstrap, spark, prolog, css, javascript, grpc, kubernetes, apache cassandra, python, gcp, aws emr, ml frameworks, html, node.js, snowflake, mongodb, aws glue, nodejs, apache airflow, erlang, spring, apache flink, ruby on rails, scala, sql, dynamodb, c++, .net, angularjs, aws lambda, go, flink, sql server, r, postgresql, azure, pyspark, docker, microsoft excel, cassandra, decision making, protocol buffers, mysql, aws, java, jquery, typescript, azure sql, scheme, aws redshift, dbt, asp.net, azure cosmos, airflow, data, antlr, ruby, react |
Implemented NLP models (Transformers) and text analytics to analyze customer reviews. | 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 |
Deployed a Business Intelligence backend, using Cubejs, to scalably serve a mobility companys data. The system is currently running in production. | 3Machine Learning Engineer
| pytorch, tableau, databases, javascript, convolutional neural networks, python, git, data engineering, javascript and r., churn prediction, ml frameworks, social media, advertising optimization, mongodb, dvc, research, apache airflow, sql, android app, visualization, research project, tensorflow, business intelligence, r, applied machine learning, public policy, data versioning with dvc, nlp, postgresql, collaboration, nlp model, machine learning, mongodb., fraud detection, machine translation, mysql, fastapi, statistics, java, ai, demand forecasting, reinforcement learning, fastapi., real-time bidding, flask, airflow, prediction, scikit-learn., data, satellite imagery, apache airflow., information retrieval, computer vision |
Generated and monitored metrics for data quality and reliability, using Pyspark, Great Expectations and Locker, to ensure correctness in deliverable tables used downstream in User Acquisition pipelines for the mobile games company. | 0Data Engineer
| numpy, kafka, aws cli, hive, javascript, kubernetes, looker, git, compose, powerbi, gcp, data modeling, angular, jupyter, datadog, sql, dynamodb, kibana, sap, tensorflow, flink, postgresql, terraform, azure, docker, matplotlib, asana, sqlserver, swagger, opencv, databricks, jupyter notebook, aws redshift, vault, scikit-learn, shell scripts, scipy, grafana, gis, pytest, hadoop, delta lake, zookeeper, snowplow, junit, docker compose, apache spark, tableau, confluence, apache kafka, databases, pandas, spark, apache hadoop, python, github, gitlab, ml frameworks, html, mongodb, apache airflow, apache flink, scala, postgis, elasticsearch, visualization, .net, mlflow, talend, aws ec2, trello, go, xgboost, zeppelin, great expectations, pyspark, mysql, aws, java, apache hive, azure sql, redis, airflow, restapi, aws s3, data, jira, beautiful soup, leadership, computer vision, react |
Created a centralized campaign’s data into one data set by reorganizing the data into different data sets, each one with its own business, allowing in the end to create one with all campaigns. Applied best practices and SQL Optimizations to every new pipeline created using Snowflake, Python, and Airflow. Achieving to increase the performance by 75% for a retail company. | 0Data Engineer
| eventhub, zookeeper, apache spark, c#, hdfs, databases, spark, solr, rabbitmq, javascript, cosmosdb, looker, python, powerbi, gcp, azure log analytics, ml frameworks, azure data factory, azure ml., snowflake, chef, azure synapses, apache airflow, apache impala, scala, sql, visualization, db2, google bigquery, sql server, r, azure api management, postgresql, haddop, google storage, azure functions, terraform, azure, zookeeepr, cloudera, azure adls, sqlserver, mysql, ssis, java, azure sql, databricks, ms sqlserver, impala, and, airflow, data, php |
Carried out finite-element analysis (FEA) combining commercial software with internal Python scripts to perform structural analysis and optimization in bridges and buildings. The model compared different structural topologies and returned the best one according to the clients needs (time, budget, form). This reduced up to 80% the design changes during construction. | 2Data Scientist
| pytorch, numpy, apache spark, c#, autocad, databases, pandas, aws batch, python, git, huggingface, ml frameworks, mongodb, aws sdk for python (boto3), dvc, seaborn, apache airflow, langchain, sql, aws eventbridge, shap, aws api gateway, visualization, mlflow, aws lambda, aws ec2, aws boto3, xgboost, nlp, postgresql, aws sns, rhino, pyspark, docker, microsoft excel, aws ecs, matplotlib, latex, grasshopper, fastapi, plotly, statistics, aws, aws ecr, opencv, databricks, redis, airflow, tekla structures, aws s3, scipy, data, computer vision |
Built a data warehouse (star schema, dimensional modeling) and a data lake for a big retail company, using tools such as Redshift, S3, Python, and Alteryx Assumed responsibility for the design, development and maintenance of data pipelines to feed the data warehouse, therefore participated actively in architectural decisions and data modeling. | 0Data Engineer
| aws ec2, apache spark, tensorflow, databases, spark, postgresql, javascript, apache cassandra, python, apache hadoop, cassandra, aws emr, mysql, fastapi, alteryx, java, aws, ml frameworks, raspberry pi, leadership, mongodb, aws redshift, apache airflow, flask, apache impala, impala, ruby on rails, airflow, aws s3, sql, data, visualization, hadoop, django, ruby |
Developed and applied a data quality alerts system using dbt and Jinja to monitor and improve the accuracy of customer-related metrics used by analysts from the special projects team. | 5Analytics Engineer
| object-oriented programming in python, sql for data analysis, numpy, dbt fundamentals, r, databases, pandas, applied plotting, dax, postgresql, jinja, shiny app, pyspark, python, git, docker, shiny, powerbi, matplotlib, time series, ml frameworks, snowflake, scikit-learn, dbt, apache airflow, introduction to pyspark, airflow, sql, data, introduction to airflow in python, visualization, bloomberg, charting |
Operated and enhanced a platform that aggregates data sources using MySQL from multiple sources (relational databases, raw files, API endpoints, and manual uploads through Django GUI) to deliver trade transactions reports via email and generate aggregated tables to be consumed by banking clients; deployed the platform in a private cloud of Red Hat Enterprise Linux servers using Jenkins. | 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 |
Designed software features based on business requirements and following company SLDC guidelines. | 4Software Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Created an ETL and ELT data pipelines using Python whilst applying CICD best practices. | 0Data Engineer
| sap, tensorflow, power automate, tableau, oracle, r, swps, dataflow, postgresql, matlab, python, git, docker, power bi, powerbi, data modeling, aws athena, linux, statistics, aws, ml frameworks, c, microsoft, aws redshift, aws glue, sickit-learn visualization, apache airflow, aws s3, sql, data, sharepoint, erp, metabase |
Developed econometric models to forecast insurance sales with public data from the Venezuelan Superintendency of Insurance using R. | 2Data Scientist
| pycharm, tensorflow, visual studio code, google bigquery, tableau, oracle, r, bitbucket, sas, googledata studio ml frameworks, postgresql, looker, python, git, microsoft excel, powerbi, github, gcp, data modeling, mysql, rstudio, statistics, aws, jupyter, snowflake, jupyter notebook, dagster, oracle data, aws redshift, scikit-learn, dbt, apache airflow, keras, planning, airflow, aws s3, sql, airbyte |
Commercial support and reporting of the results of the accounts manager with the aim of improving the decision making about commercial tactics to clients in the bank, business and government sector. | 1Data Analyst
| other |
Created new Databricks delta tables with new modeling denormalizing data, reducing the need for joins to improve the efficiency of PySpark data pipelines for the analytics 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 |
Developed a feature to limit the maximum number of ads a user can view on a daily, weekly, and monthly basis using Redis to keep a count of the total number of ads viewed per user, and the appropriate events were triggered to halt ad delivery. | 4Software 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 |
Contributed to the design, implementation, and maintenance of companys Lookup API USING WHAT TECH TOOLS? A product that enhances developers app security by integrating their users phone-number-related information to establish a trusted interaction. | 4Software Engineer
| junit, go, redux, maven, databases, solr, css, f#, javascript, json, python, git, design patterns, apache maven, knockout js, angular, angular 5, aws, java, ml frameworks, html, typescript, mongodb, jest, aws s3, sql, react-redux, data, dynamodb, visualization, c++, css3, xml, react |
Developed classifiers to identify Parkinsons and Alzheimers patients using Word2Vec models. | 2Data Scientist
| awsfargate, pytorch, api gateway, informix, numpy, aws cloudformation, oracle, disvoice, folium, pandas, lambda, javascript, huggingface transformers, python, imb informix, librosa, git, gcp, aws speech api, selenium, huggingface, nltk, angular, librosa disvoice, ml frameworks, linux bash, tfx, node.js, sphinx, mongodb, aws glue, dvc, seaborn, nodejs, spring, bigquery, sql, aws api gateway, aws sagemaker, dynamodb, visualization, postgres, django, spring boot, aws ec2, aws dynamodb, ibm, tensorflow, google vertexai, microsoft word, bash, nlp, postgresql, aws aurora, terraform, pyspark, docker, matplotlib, mysql, fastapi, linux, plotly, java, aws, opencv, geoplotlib, sagemaker, scikit-learn, flask, aws s3, scipy, data, pytest, leadership, react |
Extracted, cleaned and consolidated data using SQL, PrepBuilder and other ETL tools, and created a business tailored data warehouse with IT areas. | 5Analytics Engineer
| 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 |
Participated in the FedRAMP and ISO 27001 certification process. | 4Software Engineer
| other |
Worked on data science projects, such as clustering analysis (using Databricks) to help the company categorize its customers based on their usage of the company’s app. | 1Data Analyst
| played a crucial role in establishing new reports focused on online stores performance using sql and excel getting to set priorities and implementing processes for the new bi area created from scratch after the company got acquired by infracommerce., luigi, tableau, developed business reports using tableau and powerquery that allowed the delivery of data-driven insights for a european food-tech company., databases, powerquery, including table modeling for the data warehouse using pyspark on databricks and report creation on looker. the migration led to an easier way to calculate kpis for different areas of the company., business administration, report creation, leading to a faster and easier way to create reports and data analysis., on various kpis for senior management and foreign investors of one of the biggest latam e-commerces., supervised an intern, worked with data engineering and data analytics projects to migrate data from tableau to looker, guiabolso sep 2017, restructured the bi area, looker, python, powerbi, gcp, international management, business intelligence analyst, developed ad hoc analysis, created the companys data warehouse by developing data pipelines, including interns and junior analysts, mongodb, vba, such as clustering analysis, apache impala, resulting in the development of strong interpersonal skills and valuable insights into international business practices delivering accurate and timely reporting and insights., università luigi bocconi, sql, visualization, multicultural team on projects with significant international exposure, databricks and looker at a brazilian fintech startup., metabase, and coordinated information needs for the companys subsidiaries in eight different countries., olook june 2014, google bigquery, hellofresh aug 2016, bi, advanced analytics and models using pyspark in databricks, pyspark, demonstrating strong leadership and communication skills., microsoft excel, education, improving data-gathering and report-building using sql and excel in a brazilian well known online store. defined new key performance indicators, dataform, databricks, supervised a team of four analysts, providing mentorship and support to ensure her success in the role., dafiti june 2012, created dashboards and reports for senior management using sql, ba, analyzed data mainly using excel to develop actionable insights that drove business decisions related to the business expansion in brazil and other latam countries., fgv-eaesp, excelsenior data analyst, junior business intelligence analyst, data, worked on data science projects, contributed to a high-performance, leadership, gathered information and built reports and presentations using vba and sql, and kpi calculation using sql, excel and tableau |
Designed and executed strategies for churn reduction for users across LATAM. | 2Data Scientist
| other |
Designed and developed ETL pipelines to automate the company payroll system using Python, Docker, Pandas, Numpy, PySpark, numpy, AWS DynamoDB, AWS Aurora, Docker, Sklearn, AWS Glue, pytest. The design included a Factory software pattern encompassing multiple business logics into one package where containers could be configured to handle a single process. The results included the automation of ~50% of the company payrolls and optimized ~70 minutesweek for the payroll team. | 2Data Scientist
| awsfargate, pytorch, api gateway, informix, numpy, aws cloudformation, oracle, disvoice, folium, pandas, lambda, javascript, huggingface transformers, python, imb informix, librosa, git, gcp, aws speech api, selenium, huggingface, nltk, angular, librosa disvoice, ml frameworks, linux bash, tfx, node.js, sphinx, mongodb, aws glue, dvc, seaborn, nodejs, spring, bigquery, sql, aws api gateway, aws sagemaker, dynamodb, visualization, postgres, django, spring boot, aws ec2, aws dynamodb, ibm, tensorflow, google vertexai, microsoft word, bash, nlp, postgresql, aws aurora, terraform, pyspark, docker, matplotlib, mysql, fastapi, linux, plotly, java, aws, opencv, geoplotlib, sagemaker, scikit-learn, flask, aws s3, scipy, data, pytest, leadership, react |
Managed Linux virtual machines on AWS EC2 for daily scheduled task execution. | 0Data Engineer
| snowplow, apache spark, circleci, javascript, kubernetes, heroku, looker, python, git, google bigquerydata, gcp, data modeling, aws athena, gitlab, node.js, snowflake, delta lake, mongodb, aws glue, nodejs, model-view controller, apache airflow, sql, elasticsearch, aws api gateway, dynamodb, visualization, airbyte, aws ec2, aws dynamodb, ibm, great expectations, postgresql, aws sns, elastichsearch, terraform, jinja, azure, pyspark, docker, aws ecs, decision making, azure devops, mysql, aws rds, linux, aws, opencv, azure sql, databricks, aws redshift, dbt, aws s3, google data studio, delta live tables |
Built time series forecasting using Python, Spark and Databricks leveraging on Statistical analysis and meaningful insight extraction to improve On-Shelf Availability after forecasting sales. | 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 |
Created web streaming services using Golang, Javascript, Kafka, AWS, Consul and Kubernetes for a television channel. | 4Software Engineer
| other |
Improved several legacy implementations for the past ten years using MSBISQL Server Scripting and Tuning, reducing processes that used to take days to just a few hours, for an industrial equipment renting company. | 0Data Engineer
| other |
Designed a logistic regression approach on Python with AWS SageMaker and AWS Athena, to upgrade the fraud detection process, reaching an increase in precision of 60%, for the Compliance team | 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 |
Had to make extensive changes to some of the acquired pipelines to accommodate GDPR and law-abiding data protections. | 4Software Engineer
| apache activemq, aws cloudformation, oracle, activemq, rabbitmq, jenkins, javascript, subversion, git, gcp, aws emr, aws athena, virtuoso, resque, chef, sql, dynamodb, django, iaas, kibana, graphql, wireshark, jmeter, postgresql, docker, docke, scalatest, linux, unix, paas, aws redshift, lisp, pytest, hadoop, java dropwizard, php, junit, apache spark, databases, pandas, spark, logstash, heroku, rails, apache hadoop, python, github, ml frameworks, apache ab, mongodb, microsoft project, erlang, scala, elasticsearch, visualization, celery, aws lambda, aws ec2, go, bash, scrapy, perl, ansible, mysql, aws rds, vs code, statistics, java, sqlite, aws, c, intellij, puppet, flask, redis, aws s3, data, jira, clojure, python scrapy, react |
Designed and built a data warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT and SQL. | 0Data Engineer
| numpy, apache spark, jupyter notebooks, pandas, python, git, powerbi, github, data modeling, nltk, time series, google vm, prestosql, snowflake, aws glue, seaborn, apache airflow, nosql, bigquery, sql, vader, dynamodb, visualization, sqlite., aws lambda, aws ec2, aws dynamodb, google cloud storage, google bigquery, streamlit, bash, nlp, great expectations, postgresql, facebook prophet, aws sns, terraform, docker, power bi, matplotlib, mysql, aws rds, linux, statistics, aws, sqlite, aws step functions, jupyter notebook, aws redshift, gcs, firestore, dbt, scikit-learn, redash, flask, aws s3, data, github actions, aws kinesis, leadership |
Utilized Google Cloud Functions, PubSub, BigQuery, Cloud Scheduler, and Data Studio to orchestrate the integration of flat files from the data warehouse and Vtex API within Google Cloud Platform. This comprehensive integration framework contributed to a substantial 90% acceleration in generating eCommerce sales reports, enabling timely and insightful reporting on sales performance. | 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 |
Created data pipelines with data quality testing, documentation, and transformation as part of the ELT process. | 1Data Analyst
| data and visualization, r, dataflow, bash, postgresql, css, javascript, collaboration, looker, python, power bi, powerbi, data modeling, decision making, mysql, java, aws, sqlite, html, aws redshift, vba, cron, sql, appscript |
Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset using Python, DVC, Pandas, scikit-learn, LightGBM. Set up an experiment tracking server with MLFlow and automated iterative model training. Used Github Actions to automatically deploy a dockerized API in AWS ECS of the selected model integrated with an explainability framework. Extracted, processed and applied feature engineering over 100 columns and over 2 million rows. | 3Machine Learning Engineer
| pytorch, numpy, lightgbm, trax, weights, apache kafka, databases, pandas, apache cassandra, python, git, github, huggingface, mongodb, dvc, apache airflow, keras, sql, sensors, mlflow, aws lambda, aws ec2, aws fargate, tensorflow, ml tools, nlp, postgresql, terraform, matlab, pyspark, microcontrollers, docker, aws ecs, hugging face, fastapi, aws, aws ecr, opencv, raspberry pi, aws redshift, scikit-learn, airflow, aws s3, weights & biases, data, github actions, arduino, computer vision |
Created and implemented an ARIMA time series model to estimate customers’ debt capacity using historical transactional data. | 2Data Scientist
| pytorch, numpy, tableau, pandas, dataflow, javascript, cloud sql, python, gcp, time series, ml frameworks, seaborn, google vertex ai, bigquery, sql, shap, visualization, c++, postgres, tensorflow, xgboost, r, vertex ai, bash, postgresql, perl, crisp-dm, matlab, fastai, matplotlib, linux, plotly, statistics, aws, jupyter notebook, aws redshift, scikit-learn, dash, data, redshift, computer vision |
Designed and developed SQL ETL pipelines orchestrated in Python as input for tree based Scikit-Learn, LightGBM and XGBoost machine learning models to predict credit scores for corporate clients. | 2Data Scientist
| pytorch, gcp ml tools, lightgbm, tensorflow, google cloud storage, xgboost, tableau, oracle, r, streamlit, sas, nlp, postgresql, apache hadoop, python, git, docker, gcp, decision making, amazon redshift, mysql, fastapi, statistics, aws, html, node.js, aws redshift, vertexai, stata, scikit-learn, keras, apache impala, bigquery, sql, shap, data, hadoop, pytorch lightning |
Instructed and supported a business colleague, who had never used Power BI, to create and design a dashboard developed by a team of engineers over many months and to be used by a large department of sales personnel. | 1Data Analyst
| teradata, jupyter notebooks, oracle, tableau, adobe analytics, sas, ms, looker, python, git, powerbi, github, data modeling, googlecloud, microsoft power point, snowflake, mongodb, qgis, knowledge of, bigquery, sql, visualization, amazon quicksight, r, bash, zeppelin, postgresql, power bi, microsoft excel, decision making, mysql, aws quicksight, statistics, aws, spss, jupyter notebook, aws redshift, dbt, redash, amazon, aws s3, data |
Designed and deployed custom ETL scripts in Python handling a lot of different sources of data such as transactions, user-experience research with Amplitude, app metrics, among others, for improved data continuity and access within the warehouse (Snowflake). | 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 reports on Tableau and Looker to provide insights to relevant financial services’ stakeholders. | 1Data Analyst
| played a crucial role in establishing new reports focused on online stores performance using sql and excel getting to set priorities and implementing processes for the new bi area created from scratch after the company got acquired by infracommerce., luigi, tableau, developed business reports using tableau and powerquery that allowed the delivery of data-driven insights for a european food-tech company., databases, powerquery, including table modeling for the data warehouse using pyspark on databricks and report creation on looker. the migration led to an easier way to calculate kpis for different areas of the company., business administration, report creation, leading to a faster and easier way to create reports and data analysis., on various kpis for senior management and foreign investors of one of the biggest latam e-commerces., supervised an intern, worked with data engineering and data analytics projects to migrate data from tableau to looker, guiabolso sep 2017, restructured the bi area, looker, python, powerbi, gcp, international management, business intelligence analyst, developed ad hoc analysis, created the companys data warehouse by developing data pipelines, including interns and junior analysts, mongodb, vba, such as clustering analysis, apache impala, resulting in the development of strong interpersonal skills and valuable insights into international business practices delivering accurate and timely reporting and insights., università luigi bocconi, sql, visualization, multicultural team on projects with significant international exposure, databricks and looker at a brazilian fintech startup., metabase, and coordinated information needs for the companys subsidiaries in eight different countries., olook june 2014, google bigquery, hellofresh aug 2016, bi, advanced analytics and models using pyspark in databricks, pyspark, demonstrating strong leadership and communication skills., microsoft excel, education, improving data-gathering and report-building using sql and excel in a brazilian well known online store. defined new key performance indicators, dataform, databricks, supervised a team of four analysts, providing mentorship and support to ensure her success in the role., dafiti june 2012, created dashboards and reports for senior management using sql, ba, analyzed data mainly using excel to develop actionable insights that drove business decisions related to the business expansion in brazil and other latam countries., fgv-eaesp, excelsenior data analyst, junior business intelligence analyst, data, worked on data science projects, contributed to a high-performance, leadership, gathered information and built reports and presentations using vba and sql, and kpi calculation using sql, excel and tableau |
Built an ETL workflow for API Events using Kinesis, Glue and AWS Batch. | 3Machine Learning Engineer
| other |
Research and development of machine learning models to tackle an user response prediction problem considering demographics characteristics, type of advertisement and income variables. | 3Machine Learning 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 |
Introduced RabbitMQ for Reba’s first initiative towards an event-driven architecture. | 0Data Engineer
| angular 8, apache spark, c#, pandas, qlik, rabbitmq, javascript, kubernetes, python, git, powerbi, pentaho, github, gcp, data modeling, angular js, angular, cloud functions, snowflake, mongodb, aws glue, apache airflow, sql, google sheets, aws ec2, gcp cloud storage, domo, google cloud storage, google bigquery, sql server, great expectations, postgresql, collaboration, sql server integration services, terraform, docker, power bi, decision making, mysql, aws rds, big query, fastapi, ssis, aws, mvc, qlik sense, databricks, aws redshift, asp.net, dbt, flask, aws s3, data, github actions |
Prepared data coming from distinct sources with Python and R to feed BI dashboards. | 2Data Scientist
| pycharm, tensorflow, visual studio code, google bigquery, tableau, oracle, r, bitbucket, sas, googledata studio ml frameworks, postgresql, looker, python, git, microsoft excel, powerbi, github, gcp, data modeling, mysql, rstudio, statistics, aws, jupyter, snowflake, jupyter notebook, dagster, oracle data, aws redshift, scikit-learn, dbt, apache airflow, keras, planning, airflow, aws s3, sql, airbyte |
Participated in the maintenance and refactoring tasks of ETL processes using Hive for a large retail company. | 0Data Engineer
| apache spark, teradata, kafka, hdfs, rest api, apache kafka, sas, pandas, databases, spark, lambda, hive, apache hadoop, python, powerbi, gcp, data modeling, selenium, aws emr, ml frameworks, snowflake, azure visualization, aws glue, apache airflow, scala, sql, dynamodb, c++, postgres, aws lambda, db2, sql server, postgresql, deequ, azure, pyspark, docker, decision making, mysql, aws rds, aws, java, c, apache hive, azure sql, databricks, aws redshift, sagemaker, airflow, aws s3, data, hadoop, redshift, delta lake, emr |
Integrated a provider business logic to support line-type lookups using Java and functional programming reducing the overall API response time by 1000ms. | 4Software Engineer
| junit, go, redux, maven, databases, solr, css, f#, javascript, json, python, git, design patterns, apache maven, knockout js, angular, angular 5, aws, java, ml frameworks, html, typescript, mongodb, jest, aws s3, sql, react-redux, data, dynamodb, visualization, c++, css3, xml, react |
Built a dashboard using Python’s Dash library to monitor loan default predictive model’s performance and distribution shift over time so both technical and business teams could gain full visibility and give feedback. | 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 |
Migrated two Apache Kafka clusters to a new centralized Confluent Kafka using Terraform, removing data duplication. | 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 |
migration plan to an upper version, where the bug was fixed. | 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 |
Conducted data analysis, processing, cleaning and transformation using Databricks, Python and SQL to optimize deliveries, as well as, implementing optimization ML algorithms for a health-tech startup. | 1Data Analyst
| numpy, jupyter notebooks, oracle, hdfs, pandas, apache hadoop, python, cloud sql, powerbi, r studio, gcp, nltk, ml frameworks, snowflake, mongodb, sql, visualization, periscope, tensorflow, r, j google colab, nlp, oracle cloud, postgresql, power bi, microsoft excel, mixpanel, matplotlib, mysql, rstudio, linux, statistics, apache hive, databricks, vscode, jupyter notebook, apache nifi, ggplot2, scikit-learn, google data studio, data, hadoop |
Created data pipelines using Apache Airflow, Hadoop, building a Kimball-oriented architecture data warehouse platform on top of RedShift for an analytics cube platform for a Brazilian online payment technology company. | 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 a real-time text message feature using React, NodeJS, GraphQL, Socket.IO, PostgreSQL, and ElectronJS. This feature created a new way to communicate within the app, which was up to this point only video-based; it became one of the most popular features, causing the users to request improvements over the initial version, such as sending attachments, replies and reactions. | 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 |
Analyzed and developed Alteryx ETL processes for the analytical team, streamlining data processing and analysis. | 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 |
Carried out a migration of an on-premise system using several clusters with Hadoop, Spark, Cassandra, Kafka, and Airflow to a more manageable environment in AWS and Snowflake, using DMS, S3, CDK, Glue, and Redshift. | 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 |
Created and configured an automated data pipeline that scrapped data from the US patents web site using AWS, processed the data using Spark and fed a layered Data Lake based on AWS S3. The process was orchestrated using Apache Airflow and allowed to collect and transform data in the three layers of a medallion architecture implemented for the Data Lake. Silver layer was used to fed NLP models while Gold layer was queried with AWS Athena for the creation of dashboards. | 0Data Engineer
| other |
Developed a forecasting model to predict intermittent demand using exponential smoothing and gradient boosting in Python to predict sales across multiple regions for more than 30,000 grocery products. | 3Machine Learning Engineer
| pytorch, numpy, lightgbm, trax, weights, apache kafka, databases, pandas, apache cassandra, python, git, github, huggingface, mongodb, dvc, apache airflow, keras, sql, sensors, mlflow, aws lambda, aws ec2, aws fargate, tensorflow, ml tools, nlp, postgresql, terraform, matlab, pyspark, microcontrollers, docker, aws ecs, hugging face, fastapi, aws, aws ecr, opencv, raspberry pi, aws redshift, scikit-learn, airflow, aws s3, weights & biases, data, github actions, arduino, computer vision |
Developed an investment robot recommender and customer ranking system using advanced analytic techniques and machine learning tools like Python, PySpark, Hive and PyTorch, significantly improving the efficiency of the Bank’s investment services and operations. | 2Data Scientist
| pytorch, numpy, kafka, c#, bitbucket, sas, gpack, hive, javascript, kubernetes, git, shiny, powerbi, pycaret, gcp, huggingface, ggplot, seaborn, rest apis, keras, sql, dynamodb, ibm, tensorflow, dask, microsoft word, kinesis, postgresql, causalnex, azure, matlab, docker, microsoft excel, aws ecs, matplotlib, decision making, latex, linux, statsmodels, generative models, scikit-learn, dowhy, scipy, gis, hadoop, aws kinesis, adtk, gpu, apache spark, confluence, apache kafka, databases, pandas, causalimpact, spark, css, ibm watson, atlassian, apache hadoop, python, nltk, gitlab, ml frameworks, html, mongodb, apache airflow, dplyr, scala, tidyverse, visualization, mlflow, pycasual, caret, trello, sql server, r, streamlit, nlp, pyspark, mysql, plotly, statistics, aws, aws ecr, apache hive, airtable, azure sql, causality, flask, airflow, data, jira |
Created a project to predict turnover by gathering data from schedules, meetings, worktime and demographic information of fifty thousand employees, using Google API, S3, SAP, Databricks, Python and Spark. Avoiding the loss of talented people and impacting the hiring cost of the clothing company. | 0Data Engineer
| fargate, numpy, apache spark, kafka, cloudwatch, tableau, apache kafka, eventbridge, databases, pandas, julia, dax, spark, javascript, python, git, powerbi, pentaho, github, selenium, rds, aws athena, aws emr, gitlab, secrets manager, aws glue, glue, apache airflow, planning, scala, sql, aws eventbridge, dynamodb, visualization, postgres, prioritization, aws lambda, aws ec2, sap, r, step functions, quicksight, elasticache, postgresql, iam, terraform, azure, pyspark, aws cloudwatch, docker, aws ecs, aws iam, matplotlib, decision making, aws rds, aws, java, aws ecr, apache beam, azure sql, databricks, aws redshift, dbt, airflow, aws s3, rpa, data, s3, github actions, emr |
Coordinated with product management about new features roadmap. Defined around next year of work which helped to plan delivery dates to upper management. | 4Software Engineer
| other |
Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Deployed a dockerized API in AWS ECS of the selected model integrated with an explainability framework. | 2Data Scientist
| pytorch, numpy, jupyter notebooks, pandas, css, javascript, aws batch, apache cassandra, python, git, github, gcp, huggingface, time series, html, dvc, google vertex ai, apache airflow, sql, aws api gateway, aws ebs, mlflow, aws lambda, aws ec2, aws fargate, tensorflow, google cloud storage, google bigquery, ml tools, streamlit, bash, postgresql, facebook prophet, aws sns, azure, pyspark, docker, aws ecs, fastapi, statistics, aws, aws ecr, azure sql, jupyter notebook, aws redshift, scikit-learn, shell scripts, tf object detection api, airflow, aws s3, data, github actions, computer vision |
Managed data ingestion and creation of DataPrep and DataMarts, using Databricks, GCP, and PythonPySpark to improve data accessibility for the data science team of a financial institution. | 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 |
Stored all data from inference and training in an S3 bucket, including embeddings for monitoring purposes. Inference data was saved using logging. | 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 |
Conducted follow-up on tax exemption related to innovation projects (saved $1M in 2021). | 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 |
Used SQL queries in Databricks to generate automated reports for stakeholders, accelerating the decision-making process. | 0Data Engineer
| fargate, numpy, apache spark, kafka, cloudwatch, tableau, apache kafka, eventbridge, databases, pandas, julia, dax, spark, javascript, python, git, powerbi, pentaho, github, selenium, rds, aws athena, aws emr, gitlab, secrets manager, aws glue, glue, apache airflow, planning, scala, sql, aws eventbridge, dynamodb, visualization, postgres, prioritization, aws lambda, aws ec2, sap, r, step functions, quicksight, elasticache, postgresql, iam, terraform, azure, pyspark, aws cloudwatch, docker, aws ecs, aws iam, matplotlib, decision making, aws rds, aws, java, aws ecr, apache beam, azure sql, databricks, aws redshift, dbt, airflow, aws s3, rpa, data, s3, github actions, emr |
Developed a data quality report for the Education Industry using QlikSense. | 1Data Analyst
| data studio., google bigquery, oracle, tableau, snowflake, databases, sql, python, qliksense, visualization, gcp, mysql |