João Pedro
Head Of Machine Learning AI at Palver
São Paulo, São Paulo, France
Summary
👤
Senior🎓
Top SchoolJoão Pedro is Head of Machine Learning/AI at Palver and a researcher bridging applied ML with economic policy, with a decade of experience designing data-driven products and models. Trained in systems development and economics (USP, Paris School of Economics), he blends hands-on ML engineering—especially NLP and web-backed deployments—with product management experience in fintech and retail. His background includes impactful internships and research roles (Pattern Recognition lab, Magazine Luiza, IPEA, MADE) where he built ETL pipelines, applied ML to customer experience, and produced policy‑relevant analyses from national surveys. He knows both the product lifecycle and the technical stack (Python, Pandas, Flask/Django), enabling rapid translation of research insights into production features. Notably, he pairs economic research—organizing the Brazilian Economics Olympiad and contributing to macro-inequality studies—with startup execution, a profile that helps steer AI work toward measurable social impact. Based in São Paulo but educated across Brazil and France, he uniquely combines public-sector research rigor with startup velocity.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Analysis and Policy in Economics, Master's degree, Analysis and Policy in Economics at Paris School of EconomicsUniversity of São PauloTécnico, Desenvolvimento de Sistemas, Técnico, Desenvolvimento de Sistemas at Universidade Federal de Minas Gerais
Stackoverflow
131reputation
54kreached
0answers
3questions
Github Skills (27)
curl6
sequence6
eve-online6
regression6
sentiment6
php6
phpredis6
amazon-s36
php-curl6
stackexchange-redis6
redis-cli6
amazon-web-services6
woocommerce6
sentence6
redis6
Programming languages (6)
Github contributions (5)
joaopedro-fg/joaopedro-fg.github.io
Aug 2020 - Aug 2024
Contributions:1 PR, 30 pushes, 1 branch in 4 years
joaopedro-fg/major-health
May 2020 - Jun 2022
Repositório contendo solução desenvolvida para o hackaton da AEB em 2020.
Contributions:8 pushes, 1 branch in 2 years 1 month
javajavascriptriohackaton
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