Mikhail Dubov is an experienced data scientist and machine learning engineer with a strong background in designing and implementing data-driven solutions across various companies, including Revolut, where significant contributions included leading teams, enhancing A/B testing frameworks, and developing ML models for customer retention and fraud detection. Previously, Mikhail worked as a research assistant at the Higher School of Economics, developing algorithms for text analysis and visualisation, and held roles in software engineering at Meta, Google, and Mirantis, contributing to projects like OpenStack Rally. Mikhail has a Master’s Degree in Data Science and a Bachelor’s Degree in Software Engineering from the Higher School of Economics, as well as a Master's Degree in Computer Science from Université Paris-Est Marne-la-Vallée.
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