Summary
Viktor Gregor is a Senior Research Engineer with 11 years of experience applying advanced analytics and machine learning to drive product and revenue impact across gaming, fintech, and research organizations. He built foundational ML capabilities at Pixel Federation and led data science at SuperScale, delivering production systems from LTV prediction and recommendation engines to an LLM-powered insight engine and SKAN attribution for privacy-preserving measurement. Comfortable bridging research and product, he introduced Bayesian A/B testing practices, causal simulation for spend optimization, and robust time-series and forecasting pipelines that informed strategic decisions. His academic background in stochastics and financial mathematics underpins a rigorous, simulation-first approach to problems, while a history as a ropes-course instructor hints at practical leadership and composure under pressure. Now based in Bratislava, Viktor combines deep technical craft with clear communication to help teams adopt reproducible, business-focused ML.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree Stochastics and Financial Mathematics, Master’s Degree Stochastics and Financial Mathematics at Vrije Universiteit Amsterdam (VU Amsterdam)
Master’s Degree Economic and Financial Mathematics, Master’s Degree Economic and Financial Mathematics at Univerzita Komenského v Bratislave
Erasmus study exchange Economic and Financial Mathematics, Erasmus study exchange Economic and Financial Mathematics at Norwegian School of Economics (NHH)
English, Slovak, Czech, French