Data Scientist · 2017–2020 · Warsaw
Santander TFI
Predictive modelling, statistical comparison and data engineering, turning financial data into evidence for business decisions.
From financial data to evidence for decisions
At Santander, I combined data engineering with predictive modelling for the investment-fund market. I built a data warehouse, OLAP structures and end-to-end ETL pipelines in an environment that required access control and auditability.
My modelling work used XGBoost, regression and LSTM for segmentation, pricing and forecasting. This role gave me a practical foundation in connecting model outputs with decisions that people needed to explain and defend.
Communicating the analysis
I presented findings to management, the supervisory board and the CEO. The work required making the underlying evidence and modelling choices understandable beyond the technical team.
Python · SQL · XGBoost · Regression · LSTM · ETL · OLAP