Summary
Victor Severo is a data scientist with nine years of experience building production ML and analytics solutions across retail, agriculture, and legal domains from São Paulo. He designs end-to-end systems—demand forecasting, price optimization, and search-quality improvements—combining statistical rigor with practical software skills in Python, Docker, SQL, AWS/GCP and monitoring stacks. His work spans classical modeling and modern ML (XGBoost, TensorFlow/PyTorch, reinforcement learning), and he often pairs optimization objectives with operational constraints to improve margins and inventory outcomes. Comfortable with data engineering for heterogeneous sources (sensors, satellites, legal records) and deploying repeatable pipelines, he brings an automation-and-control engineering background to solve business-facing problems.
9 years of coding experience
3 years of employment as a software developer
Engineering Degree, Electrical Engineering, specialization in Automation and Control, Engineering Degree, Electrical Engineering, specialization in Automation and Control at Escola Polictécnica da USP
English, French, Portuguese