Mark Eltsefon

Mark Eltsefon is an accomplished data science professional with extensive experience in product analytics and data-driven decision-making across various industries. At Home Credit and Finance Bank, Mark led a team of over 15 data scientists and analysts, successfully improving ROC AUC by integrating new data sources and executing recommendation models. Subsequent roles at TikTok and Gelato involved developing algorithms to optimize customer engagement and fostering an experimentation culture. Currently serving as a Staff Data Scientist at Meta, Mark previously held leadership positions at Gelato and Jam City, where responsibilities included overseeing product analytics teams and designing vital business dashboards. Mark's analytical expertise is supported by a Master's degree in Industrial Logistics from Bauman Moscow State Technical University.