Summary
Leonardo Felizardo is a Senior Data Scientist with eight years of cross-disciplinary experience bridging applied mathematics, quantitative finance, and operations research. He holds dual PhDs (USP and Politecnico di Torino), a Master's in Quantitative Finance from FGV, and is completing a postdoc in Operations Research at ITA, bringing rigorous theory to production ML. His work spans automated trading, portfolio optimization, option pricing, demand forecasting and lot-sizing, with hands-on deployment experience using AzureML, Databricks and LLMs. At startups and corporates he has moved from product management and systems migration at Itaú to founding-team ML engineering that delivered proprietary forecasting tech and autonomous agents for order optimization. He also teaches advanced ML and deep learning, translating cutting‑edge research (deep RL, dynamic programming, metaheuristics) into practical curricula and production solutions. Based in São Paulo, he uniquely blends financial domain expertise with operations optimization, often applying reinforcement learning research directly to real-world inventory and trading problems.
8 years of coding experience
8 years of employment as a software developer
Pós-doutorado, Operations Research, Pós-doutorado, Operations Research at Instituto Tecnológico de Aeronáutica - ITA
Doctor of Science, Artificial Intelligence, A, Doctor of Science, Artificial Intelligence, A at Escola Politécnica da USP
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Politecnico di Torino
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Università degli Studi di Torino
Master's degree, Quantitative Finance, 7.5/10, Master's degree, Quantitative Finance, 7.5/10 at Fundação Getulio Vargas
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
English, Portuguese, Italian