Thom Hopmans is a Machine Learning Engineer with 10 years of experience turning econometrics and operations research into production-ready ML and data engineering solutions. Trained at Tilburg University (BSc and MSc in Econometrics & OR / Operations Research and Management Science), he blends rigorous modelling—descriptive, predictive, and prescriptive—with pragmatic data pipeline and cloud product development. Skilled in Python and familiar with end-to-end deployment patterns, he focuses on building reliable systems that translate business questions into auditable models. Based in 's-Hertogenbosch, Netherlands, he brings a strong academic foundation to industry problems and an operator’s mindset for production constraints. Less obvious: his background in operations research drives a preference for prescriptive, optimization-driven solutions rather than black-box models alone.
10 years of coding experience
Gymnasium, VWO, Gymnasium, VWO at Gymnasium Juvenaat
Bachelor of Science (BSc), Econometrics & Operational Research, Bachelor of Science (BSc), Econometrics & Operational Research at Tilburg University
Contributions:14 PRs, 11 pushes, 13 branches in 4 months
datadatasciencemachinelearning
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