Tamar Cohen

Tamar Cohen is a skilled Data Scientist with extensive experience in predictive modeling and big data analysis. Currently employed at Dynamic Yield since November 2018, Tamar utilizes statistical algorithms and machine learning methods to develop online Real Time Bidding models and conducts A/B tests for algorithm evaluations. Prior experience includes a role at myThings from July 2015 to June 2018 and at AT&T from March 2014 to August 2015, where engagement involved analyzing customer behavior using geolocation data to guide strategic decisions and improving customer satisfaction through data-driven recommendations. Tamar's foundational experience also includes serving at the Israeli Embassy in London from March 2007 to June 2009. Academic qualifications include a Bachelor of Science in Statistics and Operations Research and a Bachelor's degree in Philosophy, both obtained from Tel Aviv University, complemented by education from Thelma Yellin School of Arts.