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@overgoy
I am an experienced ML engineer specializing in recommender systems and production ML pipelines.
I am an experienced Machine Learning Engineer with more than 3 years of expertise across mobile applications, financial and banking products, and marketing services. I oversee the complete life cycle of projects, leading cross-functional teams of up to 10 members and building production solutions such as ETL pipelines and standardized ML pipelines that reduced process execution time by 80% and accelerated model development tenfold.
At present, I serve as the Head of Research and Data Analysis in the Mobile Development Department of a major bank, developing recommender systems that enhance mobile app usability using real-time reinforcement learning and embeddings, which increased CTR by 2%. I also volunteer as a mentor for Women in Tech and Women in Big Data.
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Work history, roles, and key accomplishments
Sberbank
Sep 2020 - Present (5 years 2 months)
Developed Spark ETL pipelines for time-series transaction forecasting that reduced daily data collection execution time by 80% and built a standardized Python ML pipeline that accelerated model development 10x. Implemented real-time reinforcement-learning banner recommender using Python and Scala, increasing CTR by 2%.
Siemens
Jun 2019 - Jul 2019 (1 month)
Analyzed railway system data and proposed recommendations to improve train arrival forecasting accuracy. Presented actionable insights to enhance forecasting models and operational planning.
Degrees, certifications, and relevant coursework
Master of Computer Applications, Computer Science and Control Systems
2017 - 2019
Completed a Master of Computer Applications focused on Computer Science and Control Systems from September 2017 to June 2019.
Bachelor's degree, Engineering Business and Management
2011 - 2015
Completed a Bachelor's degree in Engineering Business and Management from September 2011 to June 2015.
Software and tools used professionally
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