Alexey Klokov has a diverse work experience in the field of data science. Alexey served as a Data Science Tech Lead at Norilsk Nickel since October 2021, where they implemented machine learning processes for process optimization, yielding significant ROIs. Prior to this role, they were a Lead Data Scientist at Autonomics.tech, focusing on developing semantic segmentation for robot lidar sensors. Alexey also worked as a Data Scientist at Sberbank, where they developed classification and NER systems to enhance operational efficiency. Additionally, Alexey served as a Junior Lecturer at Moscow Institute of Physics and Technology, teaching advanced Python and machine learning concepts to students.
Alexey Klokov obtained a Bachelor's degree in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT). Alexey further pursued their education at MIPT and completed a Master's degree in Data Science.
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