Stepan Pachganov is a Machine Learning Engineer with eight years of experience building data-driven products across finance, retail, and media in Russia. He has progressed from research-focused data science roles to leading teams at major companies such as M.Video-Eldorado, X5, Moscow Exchange, and now VK, delivering production ML solutions and analytics for large-scale customer and trading systems. Trained as a specialist in fundamental and engineering chemistry, he brings a rigorous experimental mindset to model development and feature engineering. Known as a data scientist from Siberia on GitHub, he blends strong analytical foundations with practical deployment experience, often translating research ideas into business impact. Colleagues value his ability to bridge domain knowledge and engineering constraints to move projects from prototype to production.
8 years of coding experience
7 years of employment as a software developer
Specialist, Fundamental and engineering chemistry, 4.89, Specialist, Fundamental and engineering chemistry, 4.89 at Ugra State University
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Stepan Pachganov - Machine Learning Engineer at VK