Chief Data Scientist
Nikolay is an applied problems solver with a versatile background that covers pure science, software development, machine learning, and business understanding. Currently, he is focuced on FMCG retail, metals & mining, and the oil & gas industries. Nikolay has worked at the National Research University Higher School of Economics, Webgames, OSA Hybrid Platform, and Yandex Data Factory, and he gained substantial experience in solving unprecedented problems while working for these companies. As a research fellow, Nikolay (co-)authored the following articles: * Kolesnikov, A., Lysenko, N. (2016). Remarks on mass transportation minimizing expectation of a minimum of affine functions. Theory of Stochastic Processes, 21(37), 22-28. * Lysenko, N. (2017). Maximization of functionals depending on the terminal value and the running maximum of a martingale: a mass transport approach. Theory of Stochastic Processes, 22(38), 30-40. In his spare time, Nikolay develops the ReadingBricks project (https://github.com/Nikolay-Lysenko/readingbricks), a Flask application with convenient access to structured materials on machine learning. The project will likely evolve into a system that automatically compiles personalized tutorials tailored to users needs. Nikolay have earned BSc degree in Mathematics and MSc degree in Applied Economics.