Summary
Fredson Aguiar is a research-focused applied mathematician and data scientist with nine years of experience bridging optimal control, reinforcement learning, and natural language processing. Currently pursuing master's studies at FGV and Université Sorbonne Paris Nord, he conducts research internships in control and machine learning, exploring optimal control formulations for RL. His background includes NLP research on semantic representations and ontologies (CNPq, IBM) and practical data science work in credit analysis and automation for finance. Based in Rio de Janeiro, he combines rigorous mathematical modeling with hands-on data engineering, and has a longstanding interest in math and science education and dissemination. An uncommon strength is his dual training in IT and applied mathematics, enabling him to translate theoretical methods into deployable solutions.
9 years of coding experience
Mestrado (M2), Mathématiques des Données, Mestrado (M2), Mathématiques des Données at Université Sorbonne Paris Nord
Master's Degree, Mathematical Modeling, Master's Degree, Mathematical Modeling at FGV - Fundação Getulio Vargas
Technician, Information Technology, Technician, Information Technology at IFRN