About
Raphael Mendes is a Senior Data Engineer at Bayer Crop Science in Uberlândia-MG, Brazil.
ML Engineer & ML Researcher.
Reducing the time from Research and Development to Production, adding value by productionizing Data Science.
- Birthday: 22 April 1993
- Website: raphaelmendes18.github.io
- Phone: +55 87 99810 9316
- City: Uberlândia, MG
- Age: 27
- Degree: Bachelor
- Email: raphaelmendes18@gmail.com
Thanks to his experience in the agribusiness, he has a successful record of accomplishments working with different backgrounds, cultures and subject matter experts. He holds a Bachelor’s degree in computer engineering from Universidade Federal do Vale do São Francisco and University of Victoria, BC, Canada. He is currently enrolled in the Master’s degree computer science program from Universidade Federal de Uberlândia, actively researching on the optimization of Deep Neural Networks using Genetic Algorithms.
Tech Skills
Raphael’s expertise spans data science model deployment, cloud engineering and CI/CD pipelines.
Resume
Raphael has more than 4 years of experience in Analytics and ML Engineering.
Summary
Raphael Mendes
Raphael holds a Bachelor’s degree in computer engineering from Universidade Federal do Vale do São Francisco and University of Victoria, BC, Canada. He is currently enrolled in the Master’s degree computer science program from Universidade Federal de Uberlândia, actively researching on the optimization of Deep Neural Networks using Genetic Algorithms.
- Uberlândia, MG, BRA
- +55 (87) 99810 9316
- raphaelmendes18@gmail.com
Education
Master of Science in Computer Science
2019 - 2021
Universidade Federal de Uberlândia, MG, BRA
Bachelor's Degree in Computer Engineering
2010 - 2016
Universidade Federal do Vale do São Francisco, BA, BRA
Bachelor's Degree in Computer Engineering
2013
University of Victoria, BC, CAN
Professional Experience
Senior Data Engineer
2019 - Present
Bayer Crop Science, Uberlândia, MG
Mainly responsible for the model deployment in production environment for the global breeding organization, utilizing Apache Airflow, AWS DynamoDB, Docker, Celery Workers, AWS Sagemaker and CI/CD pipelines built with Jenkins and Github. Development of Data Pipelines from structured and semi-structured data using Apache Airflow, Dask, Docker and AWS S3 collecting the data using AWS Glue, AWS athena and queryiable using AWS Redshift and Google Big Query. Also, responsible for managing contractor ML engineers.
Senior Data Analyst
2018 - 2019
Bayer Crop Science, Uberlândia, MG
Responsible for the technology adoption of data science models focused on Corn, Soybeans and Sorghum breeding for the Latin America Region. Development of data pipelines in Python querying data from Oracle SQL Server, AWS Redshift, Restful APIs and GraphQL APIs using Domino Datalab platform. Developed strategies for model validation tailored to the breeding process.
Research Associate
2016 - 2018
Monsanto do Brasil, Petrolina, PE
Responsible for the development of data pipelines using BIOVIA Pipeline Pilot to create consumable data to feed interactive Dashboards created with TIBCO Spotfire, responsible for the development of the data collection strategy to aid business decisions in the Monsanto’s biggest Research and Development site in Latin America.
Speaking Languages
Raphael has experience working with global teams, different cultures and has lived in two countries.