Shannon Markiewicz
About Shannon Markiewicz
Shannon Markiewicz is a Senior Predictive Modeler at State Auto Insurance, where she has worked since 2015. She has a strong background in statistical modeling and data analysis, with experience in various programming languages and tools.
Work at State Auto Insurance
Shannon Markiewicz has held the position of Senior Predictive Modeler at State Auto Insurance since 2015. In this role, she focuses on developing predictive models that enhance the company's risk assessment and management strategies. Based in Columbus, Ohio, Markiewicz has contributed to various projects that leverage statistical techniques and data analytics to improve insurance offerings and operational efficiency.
Education and Expertise
Shannon Markiewicz earned her Bachelor's degree in Mathematics from the University of Maine, where she studied from 1984 to 1989. She later pursued advanced education at The Ohio State University, achieving a Doctor of Philosophy (Ph.D.) in Statistics from 1993 to 2008. Her academic background supports her expertise in programming languages and tools, including R, Python, Qlikview, Qlik Sense, SQL, and SAS, which she utilizes for data analysis and visualization.
Background
Before joining State Auto Insurance, Shannon Markiewicz held several positions in data analysis and consulting. She worked at OhioHealth as a Clinical Database Informatist for five months in 2013, and at Alliance Data in various roles, including Senior Statistical Consultant and Statistical Consultant, from 2010 to 2015. Additionally, she briefly worked at IBM as a Senior Consultant in 2015. Markiewicz also served as an Assistant Professor at Ohio Dominican University from 2007 to 2010.
Achievements in Predictive Modeling
Shannon Markiewicz has developed significant predictive models during her career. Notably, she created an early severity estimation model for catastrophes, employing text analytics and regression techniques. Additionally, she developed a triage model for worker's compensation claims that utilized machine learning and statistical modeling. Her work includes expertise in creating dashboards and visualizations, such as heat maps, specifically for litigation data.