Sarah graduated from Tulane University in 2014 with degrees in Mathematics and Economics and a minor in Psychology. After graduating with an M.S. in Applied Statistics in Social Science Research in 2016, she worked for Lowe’s Companies to help the business understand the causes of negative customer experiences at scale. She now works with the Data Science team at Penguin Random House, where she is heavily involved in the pricing strategy of the eBook library and matching readers to the books they’re going to love. Outside of her 9-5, Sarah tries to construct deep learning models to understand fashion trends in New York City and coaches people through their home decluttering journeys.