Rafal Mazur

I’m a Data Scientist and Analyst with 3+ years of experience building scalable analytics solutions across e-commerce, retail, and banking. I translate complex data into actionable business recommendations through hands-on predictive analytics, econometric modeling, and rigorous statistical methods.

In my current role as a Senior Data Scientist (Credit Risk) at PKO BP, I design and implement ML models for Probability of Default and Over-indebtedness using Python and GCP. I’ve also led a migration of enterprise risk data warehouses from SAS to GCP and applied causal inference and statistical significance testing to improve accuracy and regulatory compliance.

Previously at CCC TECH / Modivo, I drove marketplace performance analysis and KPI dashboarding in a high-volume e-commerce environment, building ETL/ELT solutions with Databricks, Azure Data Lake, and Airflow to improve processing efficiency. I also optimized semantic models and Power BI reporting, delivering faster dashboards across 5+ business departments while developing anomaly detection monitoring to spot irregular traffic and sales patterns.