João Pedro is a data-driven machine learning leader blending economics and technology to tackle social challenges. As Head of Machine Learning/AI at Palver, he leads end-to-end ML initiatives while shaping product strategy and customer experience, drawing on a background in fintech, retail analytics, and digital product management. He bridges academia and industry as a visiting researcher at IPEA and a researcher at MADE/USP, pursuing how economic theory can inform data-enabled policy and social outcomes. With a solid foundation in Python, R, Julia, and NLP, he has applied state-of-the-art data science techniques to product decisions and customer journeys across startups and large organizations. He is advancing his economics expertise with a master's from Paris School of Economics (starting 2025), reinforcing his focus on data-driven policy and economic analysis. Outside of work, he is passionate about organizing economic competitions and applying data science to societal issues, including the Brazilian Economics Olympiad.
9 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
University of 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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