Tina F.

Staff Machine Learning Engineer at Meta

Tina F. is a highly experienced professional in the field of machine learning and data science, currently serving as a Staff Machine Learning Engineer at Meta since October 2024, where Tina is focused on developing state-of-the-art recommendation systems. Prior to this, Tina worked at Quanata from September 2017 to October 2024 as a Machine Learning/Data Scientist, leading the development and deployment of deep learning models and collaborating with stakeholders on data product strategies. Tina's earlier roles include Senior Principal Data Scientist at E*TRADE, where Tina aimed to innovate machine learning practices, and Lead Data Scientist at Change Healthcare, enhancing operational efficiency through machine learning algorithms. Tina began a career in data analytics as Manager at Charles Schwab, contributing to risk modeling and marketing analytics. Tina holds a Ph.D. in Finance from The University of Texas Rio Grande Valley, completed in 2013.

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San Francisco, United States

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