Clint Young

Clint Young

Predictive Modeler @ Auto-Owners Insurance

About Clint Young

Clint Young is a Predictive Modeler with a strong analytical background in predictive modeling and actuarial techniques. He has worked at Auto-Owners Insurance since 2016 and has a solid educational foundation in mathematics, physics, and philosophy.

Work at Auto-Owners Insurance

Clint Young has been employed at Auto-Owners Insurance since 2016. He initially served as an Actuarial Technician for eight years, where he applied his analytical skills in various actuarial functions. In 2018, he transitioned to the role of Predictive Modeler, where he focuses on developing predictive models that enhance decision-making processes within the organization. His work contributes to the company's ability to assess risk and optimize insurance products.

Education and Expertise

Clint Young holds a Bachelor's degree in Mathematics and Physics from Binghamton University. He furthered his education at Stony Brook University, where he earned a Doctorate in Physics and Philosophy. Additionally, he studied Data Science at The Data Incubator in 2016. His educational background in both theoretical and applied physics, combined with his training in data science, equips him with a robust analytical skill set that is essential for his work in predictive modeling and actuarial techniques.

Background

Clint Young has a diverse academic and professional background. He worked as a Postdoctoral Researcher at the University of Minnesota from 2012 to 2014, where he engaged in advanced research projects. His experience at the National Superconducting Cyclotron Laboratory as a Research Associate further solidified his expertise in analytical methods. This combination of research and practical experience has informed his approach to predictive modeling in the insurance industry.

Achievements

Clint Young's career reflects a strong commitment to the fields of predictive modeling and actuarial science. His roles at Auto-Owners Insurance demonstrate his ability to apply complex analytical techniques to real-world problems. His academic achievements, including a Doctorate in Physics and Philosophy, highlight his dedication to understanding and contributing to his field. His work has implications for risk assessment and product development within the insurance sector.

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