Greater Heilbronn Region
I’m a mathematician by training and an industry problem‑solver by practice. With a PhD in mathematics, a background in economics, and experience in analytics leadership, I focus on transforming complex mathematical ideas into solutions that create real business value. My work sits at the intersection of optimization, machine learning, and strategic decision‑making — where theory becomes impact. **What I do** - Lead analytics teams to build scalable, reliable, business‑aligned models - Develop machine learning and optimization solutions used in real‑world operations - Bridge mathematical depth with practical execution in industrial environments - Mentor data scientists and engineers to think beyond tools and understand principles - Drive innovation in areas like dynamic pricing, online optimization, discrete choice models, multi‑armed bandits, and ensemble learning **Author & Researcher** - Author of two Springer books on Big Data analytics and discrete choice optimization - Published research that opened new algorithmic perspectives in discrete choice theory - Contributions applied in dynamic pricing, game theory, online optimization, and ML model selection - Build Forecasting and Supply Chain Solutions **My Philosophy** Mathematics is the backbone of analytics. Tools and models are only as strong as the principles behind them. Applying algorithms without understanding their structure, assumptions, and limitations leads to fragile solutions and fragile decisions. I use mathematics not as an academic exercise, but as a strategic advantage. It allows me to design models that are robust, interpretable, and aligned with real‑world constraints. It's important to not just “apply machine learning,” but understand why it works, when it fails, and how to improve it. Analytics becomes powerful when mathematical depth and practical execution reinforce each other. That’s the standard I set for myself.
Mitwirkung an Planung, Organisation und Durchführung von Events.