Mykola Dimura is a quantitative analyst with 11 years of experience applying machine learning, statistical analysis, and software engineering to finance and scientific research. He transitioned from a decade-long research fellowship at the University of Düsseldorf—where he earned a summa cum laude PhD in Physics and worked on computational modeling and structural molecular biology—to driving data-driven strategies at FINOVESTA GmbH. Mykola combines deep domain expertise in molecular physics with practical engineering skills to build robust, explainable models for complex data. Based in Erkrath, Germany, he excels at bringing rigorous academic methods into production environments and has a track record of turning theoretical insight into actionable analytics. Notably, his background enables him to bridge highly quantitative research and real-world financial modeling in ways that reduce model risk and improve interpretability.
11 years of coding experience
Doctor of Philosophy - PhD, Physics, summa cum laude, Doctor of Philosophy - PhD, Physics, summa cum laude at University of Düsseldorf
Contributions:26 commits, 29 pushes, 1 branch in 3 years 8 months
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