Jean Mycynek has a background in predictive analytics primarily focused on healthcare claims. With experience at Sift Healthcare, Big Data Solutions, and LexisNexis, their expertise lies in data quality and integrity. Additionally, they have experience in property & casualty insurance analytics and healthcare fraud detection. Prior to this, Jean worked at Ronald J. Krumm & Associates as an Analyst, where they conducted ad hoc analyses related to the credit card industry. With a Bachelor of Science in Registered Nursing/Registered Nurse from Loyola University Chicago and a Bachelor of Arts in Mathematics from Illinois Wesleyan University, Jean Mycynek brings a strong analytical and data-driven approach to their work.
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