Svetlana Kharlamova, M.S., Ph.D.

Drove profitable investment strategies by developing predictive model for Customer acquisition and marketing. Ideated and developed predictive model for Customer journey to a purchase using Markov chains, Reinforcement Learning. Paved the way to profitable marketing across product categories by creating product recommendation model (clickstream). Developed semantic match model using NLP, NN, Machine & Deep Learning, Word2/Doc2Vec, Semantic Similarities. Dramatically improved a product recommendation engine by developing a model for predicting risk of Revenue decline. Developed association rules for up- and cross-selling based on viewed and purchased products (clickstream data) that significantly improved customer experience on www.grainger.com. Modeled negotiation outcome (Cost Support); developed algorithm for Sentiment Analysis of surveys. Accomplished the Global Emerging Leader program (Harvard University, Manage Mentor Leadership Solutions).