Michael Meleshkin

Michael Meleshkin is a seasoned data professional with extensive experience in various analytical roles. Notably, Michael served as a Business Solution Analyst at Kaspersky Lab, focusing on BI tools for corporate reporting and documentation management. As a Data Scientist, Michael developed customer deduplication algorithms and churn prediction models, alongside conducting ad-hoc analytics. In the role of Senior Big Data Analyst at X5 Retail Group, Michael improved customer promo purchase prediction models and optimized model pipelines. Currently, as a Data Scientist at Meta, Michael supports a team of over 15 engineers, implements top-line metrics, and conducts experiments to inform strategic decision-making. Prior experience includes a BI/DWH Analyst role at GlowByte Consulting, where Michael contributed to integration projects in the banking sector. Michael holds a Master's degree in Applied Mathematics and Computer Science from Lomonosov Moscow State University.