Summary
Daniel Komesu is an economist-turned-data scientist with nine years of professional experience, currently consulting at Pezco Economics from São Paulo. He blends economic theory and quantitative analysis to turn complex datasets into actionable insights, informed by a bachelor’s in Economics and an ongoing MBA at USP/Esalq. Comfortable with both advisory and hands-on analytical work, he helps organizations navigate policy, market, and data-driven decisions. Though his GitHub presence is minimal, his profile suggests a pragmatic, research-oriented approach rather than public open-source visibility. Known for clear communication and a knack for making economic models operational, he brings a balance of academic rigor and practical consulting experience.
9 years of coding experience
Pós-graduação Lato Sensu - MBA, Pós-graduação Lato Sensu - MBA at MBA USP/Esalq
Bacharelado em Ciências Econômicas, Bacharelado em Ciências Econômicas at Universidade Paulista
Portuguese, English