Kamil Korzeń

Data Scientist at Google ∙ ex-Uber

Poland

About

Full-Stack Data Scientist with a great understanding of Machine Learning, Econometrics, and Economics Experienced in strategic thinking and the application of advanced analytics to real business problems, creating and delivering solutions, which add direct value to the business. Proven to deliver research and recommendations, with direct impact on the strategy across multiple industries and businesses Previously, developed a data-driven infrastructure for the 3rd biggest Asset Manager in the region (acquired by Goldman Sachs), worked as Junior Data Scientist at Uber applying machine learning and data engineering skills in the space of Marketplace and Product Analytics, was hired as a foundational Data Scientist in B2B LLM-based chat solution and developed internal DS products in deep tech Cybersec startup Nethone, later acquired by Mangopay Graduated with BSc in Computer Science & Econometrics and MSc in Data Science with distinction from the University of Warsaw, while publishing two academic papers, doing numerous internships and NGO projects during studies

Experience

  • Data Scientist at Google
    Sep 2024 - Present · 1 yr 11 mos

    🌱 Extending longevity, improving wellbeing and helping people sleep better with Google Health

  • Data Scientist at Nethone
    May 2022 - Aug 2024 · 2 yrs 4 mos

    Payments & Fraud ML incl. fraud modelling, anomaly detection, account takeover, and device fingerprinting (Mangopay since 2023)

  • Lecturer at Software Development Academy
    Aug 2022 - Apr 2023 · 9 mos

    Lectures on ML, statistics, data manipulation and data visualisation for +70h, while scoring 98.4% satisfaction grade

  • Data Scientist at Tidio
    Jun 2021 - May 2022 · 1 yr

    Foundational DS focused on Product Analytics incl. strategy, pricing, monetisation, adoption, retention and experimentation

  • Data Scientist at Uber
    Apr 2020 - May 2021 · 1 yr 2 mos

    Worked in Rides Ops owning local experimentation, incentives planning, marketplace and pricing research, churn modelling and user segmentation