Edgar Pal
About Edgar Pal
Edgar Pal is a Senior Data Scientist currently working at Arity in Chicago, Illinois. He has extensive experience in data science, having previously held positions at Groupon, Allstate, and Zurich North America, and holds a Master of Science in Computer Science from the University of Chicago.
Current Role at Arity
Edgar Pal serves as a Senior Data Scientist at Arity, a position he has held since 2022. In this role, he engages in cross-functional collaboration with product, UX design, and engineering teams to refine data-driven solutions. His work includes developing models to assess driver safety scores, which contribute to enhanced safety features in Arity's products. This position builds on his extensive experience in data science and analytics.
Previous Experience in Data Science
Prior to his current role, Edgar Pal worked at Groupon as a Data Scientist from 2020 to 2022. He also held positions at Allstate, where he served as a Data Scientist from 2017 to 2019 and later as a Senior Data Scientist and Manager from 2019 to 2020. His early career included a role as an Associate Data Scientist at Zurich North America from 2015 to 2017, and as an Actuarial Analyst from 2013 to 2015. These experiences provided him with a solid foundation in data analysis and modeling.
Educational Background
Edgar Pal earned a Master of Science (M.S.) in Computer Science from the University of Chicago, studying from 2016 to 2019. He also holds a Bachelor of Arts (B.A.) in Economics and Public Policy Studies from the same institution, completed from 2010 to 2013. His educational journey began at Benet Academy, where he achieved a High School Diploma from 2006 to 2010. This academic background supports his expertise in data science and analytics.
Teaching and Peer Review Involvement
In addition to his professional roles, Edgar Pal has contributed to the academic community as a Computer Science Grader at the University of Chicago from 2020 to 2023. He actively participates in the data science peer review process, providing and receiving constructive feedback to improve project outcomes. This involvement demonstrates his commitment to continuous learning and collaboration within the data science field.