Hamburg, Hamburg, Germany
Why settle for "good enough" when you can have optimal? I’ve always been driven by a curiosity to understand how things work. While others might stop at a working solution, I usually ask: "How can we find the mathematically optimal outcome?" This drive led me through a degree in Mathematics (with a heavy dose of Computer Science) and straight into the AI & Data Team at Roland Berger. What do I do? A bit of everything. I’ve worked on projects ranging from Banking to Retail and Logistics. But what I love most is building models of complex realities. Whether it’s simulating international supply chains for higher resilience or using mobile movement data to predict auto-part demand across the USA – I turn data into strategy. My technical sweet spot is Mathematical Optimization. Give me a messy, complex problem, and I’ll find the best solution—whether through linear models, Mixed-Integer Programming, or heuristics like genetic algorithms. How I work: I don’t just speak Python and Math; I also speak "Business." My superpower is diving deep into the quantitative weeds ("Nerd Mode"), surfacing with insights, and translating them into clear strategic implications for executives up to C-level. My colleagues appreciate me not just for this analytical sharpness, but specifically for being an approachable and collaborative team player. When I’m not optimizing: 🏃♂️ I’m running (half) marathons to clear my head. 🎲 I’m playing board games. The rule: The more complex and longer the game, the better. ⚽ I’m cheering for Borussia Mönchengladbach. 🎶 I’m making music (Clarinet & Choir) – because life needs harmony, not just logic. Let’s connect if you want to discuss optimization potential or need a player for a 4-hour board game!