Yating Tian

Yating Tian is an accomplished data scientist with extensive experience in data analysis and financial modeling. Current employment at Meta involves applying causal inference techniques to evaluate the impact of Meta's marketing initiatives. Previous roles include data analysis at PNC, where Yating served as a Vice President and developed anti-money laundering models, as well as a financial analyst at China Chengxin International Rating Co. Ltd. Other notable positions include data scientist roles at Publicis Groupe and KeyBank, focusing on advertisement optimization and fraud detection, respectively. Yating's academic background includes a Master’s Degree in Information System Management from Carnegie Mellon University and a Bachelor's Degree in Finance from China Agricultural University, complemented by an exchange study in Applied Economics at the University of Maryland College Park.