Summary
Adrian Dembek is a Principal Data Scientist based in Warsaw with nine years of experience helping organizations translate business needs into machine learning solutions, especially in customer and marketing analytics. He combines strong statistics and economics training with hands-on engineering in cloud platforms (GCP/Azure), feature engineering, and model tuning (LightGBM, Optuna, tsfresh) to deliver production-ready forecasting, churn, and personalization systems. Adrian has led end-to-end projects from PoC to pipeline—predicting thousands of time series for a Swiss manufacturer and building ad personalization for an app with hundreds of millions of daily users. He pairs technical delivery with project and product thinking, often owning business development, risk assessment and stakeholder communication in engagements. Notable for automating large-scale modeling workloads (over 1,000 models for home insurance) and combining behavioral segmentation with classical econometric insight, he focuses on solutions that demonstrably drive commercial value.
9 years of coding experience
7 years of employment as a software developer
Master's degree Quantitative Methods in Economics and Information Systems, Master's degree Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics
English, Russian