Sarah Vallélian

Sarah Vallélian has a diverse work experience in the field of data science. Sarah is currently a Lead Data Scientist at EverQuote, starting in 2023. Prior to this role, they worked at Amobee as a Lead Data Scientist from 2020 to 2023. During their time at Amobee, they were responsible for designing and implementing new engineering features to improve stability and speed of data science models. Sarah also collaborated with data scientists and engineers on the design, implementation, and usage of new data sets and forecast models.

Before Amobee, Sarah worked as a Data Scientist at Cox Automotive Inc. from 2019 to 2020. Sarah'sresponsibilities included developing customized time series forecasting solutions and integrating them with business logic to provide recommendations for fleet managers.

Sarah also gained experience as a Data Scientist at Videa LLC from 2018 to 2019. Sarah'snotable accomplishment during this role was building an automated tool that optimizes advertisement campaigns on television. Sarah gathered requirements from customers and collaborated with various teams to design the tool.

Prior to their industry experience, Sarah worked as a Postdoctoral Researcher at SAMSI from 2015 to 2017. Sarah also had teaching experience as a Teaching Assistant and Supplemental Instructor at The University of Texas at Austin from 2009 to 2015, where they taught various mathematics courses.

Furthermore, Sarah worked as a Project Excellence Mathematics Instructor at Phoenix Country Day School in 2009, where they developed and taught a curriculum on probability and statistics for gifted yet underprivileged middle- and high-school students.

Sarah Vallélian began their education in 2004 at Dartmouth College, where they pursued a Bachelor of Arts (B.A.) degree in Mathematics. Sarah studied at Dartmouth College until 2008. Following their undergraduate studies, they continued their education at The University of Texas at Austin from 2009 to 2015. During this time, they earned a Doctor of Philosophy (PhD) degree in Mathematics.