Summary
Michał Woźniak is a Data Science Domain Manager and PhD candidate at the University of Warsaw with nine years of experience applying econometrics and machine learning to insurance, e-commerce, and logistics problems. He combines industry leadership roles at InPost and PZU with academic teaching and research on statistical learning for market risk estimation. His track record includes end-to-end delivery of commercial quantitative projects—ranging from churn and fraud detection to actuarial risk optimization and real estate valuation models. Comfortable in production engineering (TypeScript, C#, Java) as well as ML research, he bridges practical deployment with rigorous methodology. He also consults on forecasting and trading-system implementation, showing an unusual blend of hands-on coding, commercial product impact, and academic publication ambitions. Based in Warsaw, he leverages both classroom instruction and field deployments to translate complex statistical ideas into business value.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Economics and Finance, Doctor of Philosophy - PhD, Economics and Finance at University of Warsaw