Kate Ardinger, Acas
About Kate Ardinger, Acas
Kate Ardinger is the Manager of Analytics R&D at Auto-Owners Insurance, where she develops predictive models and oversees analytics initiatives. She holds a Bachelor of Science in Mathematics from Calvin University and has experience in project management and emerging technologies.
Work at Auto-Owners Insurance
Kate Ardinger has served as the Manager of Analytics R&D at Auto-Owners Insurance since 2015. In this role, she develops predictive models that enhance decision-making processes within the organization. She oversees analytics initiatives from conception to completion, ensuring that projects align with the company's strategic goals. Her work includes creating interactive reports that provide data-driven insights for various stakeholders. Additionally, she actively explores emerging technologies, such as machine learning and artificial intelligence, to drive innovation within the company.
Education and Expertise
Kate Ardinger earned a Bachelor of Science (BS) degree in Mathematics from Calvin University, where she studied from 2011 to 2015. Her academic background in mathematics provides a strong foundation for her work in analytics and predictive modeling. This educational experience has equipped her with the necessary skills to analyze complex data sets and develop effective solutions for decision-making processes.
Background
Before her current role at Auto-Owners Insurance, Kate Ardinger gained experience in the field through various positions. She worked as an Actuarial Intern at Auto-Owners Insurance in 2014 for two months, where she began to apply her mathematical knowledge in a professional setting. Additionally, she served as a Summer Researcher at Calvin College in 2013 for three months, contributing to academic projects. In 2015, she also worked as a Teachers Aide at Calvin College for four months, further developing her skills in communication and support.
Achievements
Throughout her career, Kate Ardinger has made significant contributions to the field of analytics. Her role in developing predictive models at Auto-Owners Insurance has enhanced the company's decision-making capabilities. She has successfully managed various analytics initiatives, demonstrating her project management skills. Her commitment to exploring emerging technologies indicates her proactive approach to innovation in the insurance industry.