Anna Belova is an accomplished data science professional with extensive experience in predictive modeling and demand forecasting across various industries. Currently serving as Lead Data Scientist at H&M Group since March 2021, Anna specializes in pre-season demand forecasting for Supply Chain, focusing on predictive models for both store and online channels. Previous roles include Data Scientist at Combient Mix, where responsibilities spanned multiple industries and educational program development, as well as a Data Scientist position at Ericsson. Anna holds a PhD in Mathematics from Uppsala University, complemented by a Master's degree in Financial Mathematics from Halmstad University and another Master's degree in Applied Mathematics and Computer Science from the National Research Nuclear University MEPhI.
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