Marcelo Koga is a Lead Data Scientist based in São Paulo with 13 years of experience blending software engineering, machine learning and product-focused delivery. With a master's in AI from USP and a history as a co‑founder of an agricultural computer-vision startup, he moves fluidly between low-level C++ image processing and high-level fraud detection systems at scale. At Nubank he designs graph-based and unsupervised approaches to uncover fraud networks, builds automated retraining pipelines, and leads teams to make models and rules fast, scalable and business-ready. Previously he led engineering squads and shipped production systems at Quero Educação and developed safety-critical pilot software at Embraer, giving him a strong emphasis on UX and operational robustness. Curious and hands-on, he combines research-rooted techniques with practical product instincts and cross-functional experience in startups and large enterprises.
13 years of coding experience
11 years of employment as a software developer
Natural Language Processing, Natural Language Processing at Università di Trento
Master's Degree, Artificial Intelligence, Master's Degree, Artificial Intelligence at USP - Universidade de São Paulo
Contributions:1 release, 1 review, 237 PRs in 6 years 8 months
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