Thomas Bergman is a seasoned data analytics professional with extensive experience in actuarial science and data analysis. Currently serving as a Data Analytics Fellow at Springboard since December 2021, Bergman has managed capstone projects focused on analyzing high-churn credit card customers and classifying car insurance risks. Prior roles include Retiree Health Actuary and Associate Actuary at Segal Consulting, where responsibilities included preparing actuarial reports, updating assumptions, and managing project quality control. Bergman also has a background in machine learning from Coursera and began a career as an Actuarial Analyst at William M. Mercer. Educational qualifications include a B.A. in Applied Mathematics and Political Science from Williams College and specialized training in data science and machine learning.
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