Vsevolod Vikulin
About Vsevolod Vikulin
Vsevolod Vikulin is a Senior Data Scientist at Mail.ru Group in Moscow, Russia, where he has worked since 2020 after four years as a Data Scientist. He holds a Bachelor's degree in Physics and a Master's degree in Computer Science from Lomonosov Moscow State University and has contributed to research in data processing techniques.
Work at Mail.ru Group
Vsevolod Vikulin has been employed at Mail.ru Group since 2016. He initially worked as a Data Scientist for four years until 2020, after which he advanced to the position of Senior Data Scientist. In this role, he has continued to contribute to the company's data-driven initiatives. His work includes implementing a predictive analytics system that optimized advertising strategies and developing a machine learning model that enhanced user engagement metrics. He has also taken on a mentorship role, guiding junior data scientists in their technical development and career progression.
Education and Expertise
Vsevolod Vikulin completed his Bachelor's degree in Physics at Lomonosov Moscow State University (MSU) from 2012 to 2016. He furthered his education at the same institution, obtaining a Master's degree in Computer Science from 2016 to 2018. His academic background provides a strong foundation in both theoretical and practical aspects of data science, enabling him to apply advanced analytical techniques in his professional work.
Background
Vsevolod Vikulin is based in Moscow, Russia, where he has built his career in data science. His tenure at Mail.ru Group has spanned several years, during which he has gained significant experience in the field. His educational journey at Lomonosov Moscow State University has equipped him with essential skills in physics and computer science, which he applies in his current role.
Achievements
Vsevolod Vikulin has contributed to the field of data science through various initiatives. He implemented a predictive analytics system that enhanced advertising strategies at Mail.ru Group and developed a machine learning model that improved user engagement metrics. Additionally, he co-authored a research paper on advanced data processing techniques, which was published in a peer-reviewed journal. He also participated in a panel discussion on artificial intelligence at a major technology conference in Russia, showcasing his expertise in the field.