Sarah Vallélian currently serves as a Principal Machine Learning Engineer at Best Buy, focusing on the development and deployment of statistical and machine learning models for digital ad optimization. Previously, Sarah held the position of Lead Data Scientist at EverQuote, where responsibility included technical leadership for data science models in real-time bidding and various predictive models. Prior to this, Sarah was a Lead Data Scientist at Amobee, managing the design and implementation of engineering features and forecasting solutions for media planning, and also worked as a Data Scientist at Cox Automotive Inc. and Videa LLC, contributing to mobility solutions and advertisement campaign optimization, respectively. Sarah's academic background includes a PhD in Mathematics from The University of Texas at Austin and a BA in Mathematics from Dartmouth College. Experience as a Postdoctoral Researcher at SAMSI and teaching roles at university and high school levels further demonstrate a solid foundation in mathematics and education.
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