Polina Povarenkina
About Polina Povarenkina
Polina Povarenkina is a Machine Learning Team Lead at Mail.ru Group, where she has worked since 2020. She has a background in data analysis and machine learning, having held positions at Innova Distribution, Lamoda Group, and Mail.ru Group.
Current Role at Mail.ru Group
Polina Povarenkina serves as the Machine Learning Team Lead at Mail.ru Group, a position she has held since 2020. In this role, she oversees machine learning projects and leads a team focused on developing innovative solutions. Her responsibilities include managing team dynamics and ensuring the successful implementation of machine learning applications within the organization.
Previous Experience in Data Science
Prior to her current role, Polina worked at Lamoda Group as a Data Scientist in the Product team from 2017 to 2018. In this capacity, she contributed to data-driven decision-making processes and enhanced product offerings through data analysis. Additionally, she held a position at Innova Distribution as a Data Analyst and Data Engineer from 2016 to 2017, where she developed her analytical skills.
Machine Learning Engineering Background
Polina has a strong foundation in machine learning engineering, having worked at Mail.ru Group as a Machine Learning Engineer from 2018 to 2020. During this time, she gained hands-on experience in developing machine learning models and deploying them in production environments. Her expertise includes end-to-end machine learning processes, which she combines with her management experience.
Education and Academic Background
Polina studied at Высшая Школа Экономики, focusing on Economics. She was a PhD Candidate from 2015 to 2018, where she engaged in advanced studies and research in her field. This academic background supports her analytical capabilities and enhances her approach to data science and machine learning.
Recommender System Development
Polina developed a recommender system production solution specifically for MY.GAMES. This project highlights her ability to create practical applications of machine learning that enhance user experience and engagement within gaming platforms.