Bruno Ritter is a data scientist and professor with eight years of experience building ML-driven products and data platforms for startups and scale-ups, currently teaching data analyst and scientist programs while working on recommendation systems at Nestlé. He has led large data operations, designed an AWS-based data lake and end-to-end pipelines with PySpark/Databricks, and modernized legacy recommendation code into modular, production-ready architectures. Comfortable at the intersection of engineering, statistics and business, he pairs hands-on skills in Python, R, Airflow and Redshift with practical expertise in experimental design, feature engineering and monitoring. Unusually for a practitioner, he is pursuing a second degree in physics and contributes to extragalactic astrophysics research at UFSC, bringing a researcher's rigor to industry problems.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Universidade Federal de Santa Catarina
Master of Business Administration - MBA, Data Science, Master of Business Administration - MBA, Data Science at Instituto de Ciências Matemáticas e de Computação (ICMC)
Técnico em Publicidade, Técnico em Publicidade at Grupo Educacional Opet
Contributions:10 PRs, 58 pushes, 9 branches in 4 years
reactplanning-pokerplanningwebappscrum
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