Is a Sr. Fellow Data Scientist with extensive experience applying advanced statistical and machine learning methods across various domains, including epidemiology, survey research, AI, and telecommunications. In the telecom space, Vadim has developed and implemented cutting-edge models to predict churn, evaluate customer CLV/LTV and influenceability, directly contributing to business growth.
His ability to innovate and translate data-driven insights into actionable strategies has established him as a leader in the field.
Vadim holds an MS degree in Mathematics and a PhD in Statistics, and his work has been widely recognized through 12 peer-reviewed publications with over 500 citations and two granted U.S. patents, with one additional pending.