Karol Pysiak is a Machine Learning Scientist with eight years of hands-on experience applying data science to fraud prevention in e-commerce, currently contributing ML expertise at Visa from Warsaw. He combines a formal MEng in Data Science with strong Python and SQL skills, and practical exposure to R, Java and Rust, enabling rapid prototyping and production model maintenance. His background includes training and operating anti-fraud models, building in-house Python tooling, and delivering ETL and API integrations—skills that make him as comfortable with clean code and automation as with experimental research. Colleagues describe him as a data-savvy problem solver who treats analytics like detective work, often finding pragmatic hacks that unlock value beyond standard model improvements.
8 years of coding experience
2 years of employment as a software developer
Warsaw University of Technology
VI Liceum Ogólnokształcące im. Jana Kochanowskiego w Radomiu
Strona przedmiotu Techniki Wizualizacji Danych na wydziale MiNI PW
Contributions:16 PRs, 19 pushes in 3 months
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