- Contributed to the commissioning of an advanced dataflow model that processed hundreds of GB/s, supporting 1000 analysts.- Proposed success metrics and created performance evaluation pipelines using Python and Bash, reducing the analysis time by 30%.- Designed experiments and produced actionable insights based on requirements gathered from cross-functional teams of approximately 100 people.

- Proposed, secured funding for, and managed an end-to-end analytics project (https://projekty.ncn.gov.pl/en/index.php?projekt_id=413878).- Developed and optimized a complex regression model for multivariate analysis using Python and C++.- Communicated project results to diverse audiences, including five international conferences and two published reports.

- Participated in building a classification system by implementing numerous stochastic models in C++, based on specifications from cross-field engineers.- Validated the system in various edge cases, supporting decision-making and evaluating mitigation strategies.- Improved data quality monitoring and removed a 5% inefficiency in using distributed computing resources.