San Francisco, California, United States
Vadim primary focus is in developing and executing predictive models based on eBay Inc. data to create new disruptive innovations for eBay merchants. The models enable knowledge to industry insights, customer analytics and real-time personalization. Previously, Vadim was a Principal Scientist at eBay Inc. group that created a real time event driven analytical solution based on network relationship of the users across eBay Inc. This system is currently hosting networks with billions of nodes and computes tens of millions scores per day and is used across eBay Inc. Prior to joining eBay Inc., Vadim created and implemented self-learning Bayesian Network based model for real-time fraud prevention at Guardian Analytics. Vadim also held a variety of roles at Cytokinetis, General Motors, Bell Labs and SPSS along others. Vadim has PhD in Statistics and MS in Engineering from the University of Michigan Arbor, MS in Statistics from the University of Chicago and BS in Mathematics, Computer Science and Statistics from University of Wisconsin Madison.