Paweł Kowalski is a Data Scientist Consultant with a decade of experience blending software engineering, applied research, and security-focused development in Python and C++. He has shipped production C++ components for Tizen security at Samsung, built automation and analysis tooling, and later applied quantitative research methods to high-frequency trading strategies. His academic background includes a PhD track at the National Centre for Nuclear Research and contributions to PET imaging (J-PET), reflecting a strong foundation in physics-driven simulation and signal processing. Comfortable across research, DevOps, and code review workflows, he routinely bridges rigorous scientific methodology with pragmatic engineering to solve complex, data-intensive problems. Based in Masovian Voivodeship, Poland, he pairs industrial experience with peer-reviewed publications and a history of presenting technical innovations to senior leadership.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Nauki fizyczne, Doctor of Philosophy - PhD, Nauki fizyczne at National Centre for Nuclear Research
Magister inżynier (Mgr inż.), Modelowanie Układów Złożonych, bardzo dobry, Magister inżynier (Mgr inż.), Modelowanie Układów Złożonych, bardzo dobry at Politechnika Warszawska, Wydział Fizyki
Elektronika i Inżynieria Komputerowa, Elektronika i Inżynieria Komputerowa at Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych
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