Research Assistant at Instituto de Pesquisa Econômica Aplicada (Ipea)
Paris, Ile-de-France
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Summary
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Senior
🎓
Top School
João 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 Economics
Bacharelado Economia, Bacharelado Economia at USP - Universidade de São Paulo
Técnico Desenvolvimento de Sistemas, Técnico Desenvolvimento de Sistemas at Universidade Federal de Minas Gerais
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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