Sheng Xu is an accomplished professional with extensive experience in machine learning and data analysis across various industries. A Doctor of Philosophy in Mathematics from Tufts University, Sheng has served as an Academic Consultant at cnmooc.org, where suggestions for online courses were provided and academic activities organized. At Amazon, significant contributions were made as a Research Scientist by developing machine learning models to predict viewership while optimizing computational costs by 40%. Experience as a Senior Analyst at 平安科技 (Shenzhen) involved building a recommendation system for the financial market. In recent roles at Meta and Facebook, Sheng has focused on user-ads personalization and enhancing engagement for Instagram Reels through advanced modeling techniques. Educational background includes a Bachelor’s degree from Shanghai Jiao Tong University in Economics and Material Science and Engineering, along with Master's and PhD degrees from Tufts University in Mathematics and Applied Mathematics.
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