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Victor Portnov has over 10 years of experience in various data science and analytics roles. Viсtor started their career as a Junior Statistician at Nielsen, where they worked on projects related to trend modeling and data collection. Viсtor then moved on to roles such as Executive Statistician, Methodology Researcher, and Senior Data Science Strategy in the Population Center of Innovation Europe, where they focused on developing methodologies and tools for data analysis and product enhancement.

In 2014, Victor joined Conundrum as the Head of Product, where they led research in AI and developed machine learning technologies and software products for industrial companies. Viсtor also worked at Sberbank as the Head of Data Science for the Corporate Department, where they managed a team of data scientists and provided business recommendations and analytics for the banking sector.

Throughout their career, Victor has worked in a variety of industries including telecom, banking, retail, and market research. Viсtor has expertise in areas such as predictive maintenance, quality control, industrial processes optimization, facial and image recognition, NLP, and machine learning. Their main tools include Python and Spark.

Victor Portnov completed their Master of Science degree in Math, specializing in Statistics and Stochastic processes, from Lomonosov Moscow State University (MSU) between 2003 and 2008.