Summary
Flavio Rangel is a data scientist with nine years of experience blending computer science, social psychology, and applied machine learning to extract insights from complex datasets. He has built ETL pipelines, models and analytics for media metrics at Vibra/Band, anti-corruption procurement detectors at 29 Analytics and the World Bank, and production data work in government technology roles. Comfortable across cloud and data platforms (Redshift, Databricks, AWS) and Python-based tooling, he moves models from feature engineering to deployed analyses. His academic background in social psychology and criminology informs a human-centered approach to feature design and fraud pattern detection that goes beyond pure statistics. Based in Rio de Janeiro, he pairs technical rigor with storytelling: he is also a screenplay writer and contributor to a film podcast, bringing narrative sensibility to data-driven communication.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree in Computer Science, Bachelor’s Degree in Computer Science at Federal University of Rio de Janeiro
English, Portuguese