Hubert Nowakowski is a data scientist with nine years of experience applying mathematics, statistics and physics-inspired models to real-world problems across finance and energy. He has validated and monitored statistical and ML models in major Polish banks, implemented model code in SAS, R and Python, and supported cross-team production deployments. At CERN he worked on ALICE data quality and contributed configuration improvements to a well-known ALICE analysis repository, bringing experimental-data rigor to applied analytics. Now based in the Warsaw metro area and currently at Polskie Sieci Elektroenergetyczne, he combines strong interdisciplinary academic training in technical physics with practical experience in risk, operations and model governance. Notably, he leverages physics-style modeling analogies to inform novel approaches to business data problems.
Contributions summary:Hubert primarily contributed to configuration files within the ALICE analysis repository, specifically focusing on the femtoscopy analysis framework. Their work involved adding, modifying, and adjusting configurations for different pile-up cut selections. The commits show changes related to event and track-based cuts, as well as adaptations for different analysis scenarios. The user appears to be configuring and refining the analysis pipeline for optimal performance and accuracy.
Simulation of the Fizeau's Experiment - java project
Contributions:34 commits, 4 PRs, 29 pushes in 2 months
javajava-projectsimulation
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