Laura Conklin
About Laura Conklin
Laura Conklin is an Actuarial Analyst at Auto-Owners Insurance, where she has worked since 2021. She holds a Bachelor of Science in Actuarial Science and Statistics from Central Michigan University and is pursuing ACAS/ASA credentials.
Work at Auto-Owners Insurance
Laura Conklin has been serving as an Actuarial Analyst at Auto-Owners Insurance since 2021. In this role, she applies her knowledge of actuarial science and statistics to analyze data and assist in decision-making processes. Prior to her current position, she worked as an Associate Actuarial Analyst at the same company from 2020 to 2021. Her experience at Auto-Owners Insurance has contributed to her professional development in the insurance industry.
Education and Expertise
Laura Conklin graduated with a Bachelor of Science in Actuarial Science and Statistics from Central Michigan University, where she also minored in Finance. Her educational background has equipped her with the necessary skills to pursue a career in actuarial analysis. Additionally, she is currently pursuing actuarial exams to achieve ACAS/ASA credentials, further enhancing her expertise in the field.
Background
Laura Conklin completed her high school education at Downers Grove South High School, graduating in 2016. Following her high school education, she attended Central Michigan University from 2016 to 2020, where she focused on Actuarial Science and Statistics. Her background includes a blend of academic achievements and practical experience in various roles, including internships and assistant positions.
Previous Work Experience
Before her current role at Auto-Owners Insurance, Laura Conklin gained experience as a Data Scientist Intern at Northern Trust Corporation in 2019, where she worked for two months in Tempe, Arizona. Additionally, she served as a Student Office Assistant in the Computer Science Department at Central Michigan University from 2016 to 2020. These positions provided her with valuable insights into data analysis and office operations.