Ivan Kopiev is a data scientist and analyst at IBM Watson Commerce, focusing on advanced demand forecasting and optimization solutions for global retailers. With 15 years of experience in research and development of intelligent enterprise software solutions, Ivan has developed demand models utilizing skills in machine learning, mathematical statistics, and various programming languages. Ivan previously worked at IBM Commerce as a data analyst and at Applied Intelligent Solution, LLC, where they developed tools for demand forecasting and pricing recommendations. Ivan holds a master's degree in applied mathematics from Moscow State University and has contributed to the field through published research and a patent in behavioral emulation in computer sciences.
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