Dinar Mingaliev

Dinar Mingaliev is a seasoned data scientist with years of experience in the banking and telecom industries. With a Master's degree in Econometrics, Banking, Corporate, Finance, and Derivatives from the New Economic School, a Master of Science in Management and Applied Mathematics from Moscow Institute of Physics and Technology, and various degrees and certifications from Udacity, Dinar has a wide range of skills and knowledge that he brings to the table.

Dinar has worked as a data scientist and risk data scientist at Sberbank Europe AG, where he applied his expertise in machine learning and Big Data to solve complex problems. He has also worked as a credit risk manager at Sberbank and a senior specialist at the Agency for Housing Mortgage Lending, where he focused on risk and asset management. Before his career in data science, Dinar participated in L'Oréal's Manager-Trainee program.

As a data scientist at Drei Österreich, Dinar continues to utilize his extensive skill set to drive innovation and transform the telecom industry. His passion for learning new AI technologies and applying them to solve difficult challenges makes him a valuable asset to any organization.