Georgii Burdin currently serves as an AI-Powered Solutions Developer at GOCOMO, focusing on the development and deployment of machine learning models for social media analytics, employing deep learning, natural language processing, and graph analytics. Previously, Georgii held the position of Research Assistant at ESCP Business School, optimizing ETL processes using the Pandas library, and was a Machine Learning Engineer at Red & White Retail Company, where Georgii led the establishment of the company's first machine learning team and implemented a computer vision shelf monitoring system. Earlier experience includes a role as a Research Assistant at TU Bergakademie Freiberg, where Georgii developed a semantic segmentation tool for geological data analysis. Georgii Burdin is pursuing a Bachelor's degree in Applied Mathematics at Hochschule Mittweida and has an Engineer's degree in Mining and Mineral Engineering from the National University of Science and Technology "MISIS."
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