Victor De Oliveira is a Data Scientist and Data Engineer with 8 years of experience building end-to-end ML and data solutions across commodities trading, fintech, and B2B data products. He has led small teams and shipped production systems—feature stores, Airflow-orchestrated ETL, MLFlow deployments and Streamlit apps—turning models into real-time decision tools for traders and analysts. His domain strengths include time series and algorithmic trading models for commodities, price benchmarking APIs, and risk exposure estimation delivered from ideation to go-live in months. Comfortable both in research (NLP and deep learning) and engineering, he bridges modeling with pragmatic pipeline engineering to ensure consistency and deployability. Based in Eindhoven, he values collaborative, transparent and autonomous teams and maintains a public project portfolio on GitHub that documents his applied research and deployment work. An under-the-radar strength is his hands-on experience integrating model lifecycles with business workflows to directly influence trading and pricing decisions.
8 years of coding experience
5 years of employment as a software developer
Information Engineering, Information Engineering, Information Engineering, Information Engineering at Universidade Federal do ABC - UFABC
Electrical & Computer Engineering, Electrical Engeering, Computer Engineering, 3.32, Electrical & Computer Engineering, Electrical Engeering, Computer Engineering, 3.32 at Old Dominion University
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