Summary
Alex Huang is a data scientist with 8 years of experience building production ML systems and analytics tools across gaming and energy sectors, currently driving experimentation and simulation work at Wooga in Berlin. He has deployed scalable models on Spark and Kubernetes (including an 18-class GBM for LNG routing) and developed practical anomaly detection and CNN solutions for industrial use. Comfortable bridging research and product, Alex has a background in system dynamics and teaching at ETH Zurich, and co-founded a hardware startup that combined sensing and consumer design. He combines an electrical engineering foundation from University of Toronto with a masters in economics from ETH Zürich, giving him a rare mix of signal-processing, statistical rigor and business-minded modeling. Colleagues rely on him for fast, well-visualized tooling (e.g., a high-performance power calculator for A/B testing) that turns complex models into actionable decisions.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science, Electrical and Computer Engineering, 3.7/4, Bachelor of Applied Science, Electrical and Computer Engineering, 3.7/4 at University of Toronto
Master of Economics, Economics and Finance, 5.2/6.0, Master of Economics, Economics and Finance, 5.2/6.0 at ETH Zürich
English, Chinese, German