Emre Koc is a data scientist based in Stuttgart with a decade of experience blending economics, statistics and software engineering to solve credit risk and forecasting problems. With roles at Mercedes‑Benz Mobility and Deutsche Bank, he has driven model validation frameworks and extended IFRS9 methodologies to better integrate macroeconomic signals into credit loss provisioning. Trained in industrial engineering and advanced economics (Tilburg University), he combines rigorous academic grounding with nearly 20 years of practical full‑stack development skills, enabling robust implementation and deployment of analytic models. Colleagues rely on him for turning complex regulatory and financial requirements into actionable, well‑documented models and simulations that improve decision making.
9 years of coding experience
BS, Industrial Engineering, BS, Industrial Engineering at Bilkent University
PhD researcher, Economics, PhD researcher, Economics at Tilburg University
Contributions:26 commits, 26 PRs, 161 pushes in 5 days
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