Vsevolod Glazov

Vsevolod Glazov has a diverse work experience in the field of data science and machine learning. Vsevolod started their career at Equifax as a Data Analyst, focusing on fraud prevention services from September 2015 to August 2018. In June 2019, they worked as a Machine Learning Researcher in the chatbot development team at MTS Group, contributing to the advancement of chatbot technology until August 2019. Vsevolod then joined M.Video as a Middle Data Scientist in September 2019, where they worked on the Advanced Analytics Platform until March 2021. During their time at M.Video, they also served as a Team Lead and Senior Data Scientist for Demand Forecasting from April 2021 to June 2022. In this role, Vsevolod developed a demand forecasting model that optimized overheads, reduced stock losses, and improved warehouse turnover time by 15%. Vsevolod then moved on to Sberbank as a Senior Machine Learning Engineer in the Recommendation Systems team from June 2022 to January 2023. At Agoda, Vsevolod held the position of Senior Data Scientist in Performance Marketing, where they focused on dynamic pricing optimization and predicting accommodation price increases. Vsevolod also worked on uplift modeling in A/B tests to identify higher distinction subgroups. Currently, Vsevolod is working as a Senior Machine Learning Engineer in the Recommendation Systems team at Constructor, starting in May 2023.

Vsevolod Glazov has a Master's degree in Data Science from the Skolkovo Institute of Science and Technology, which they obtained from 2018 to 2020. Prior to that, they completed their Bachelor's degree in Applied Mathematics at Moscow State University from 2014 to 2018. In addition to their educational qualifications, Vsevolod has also obtained an EF SET English Certificate 71/100 (C2 Proficient) from EF Standard English Test, although the specific month and year of obtaining this certification is not provided. No other educational or certification experiences are mentioned.