Using Statistical techniques and Bayesian networks, developed clusters to assess and categorize the risk exposure for stakeholders of the health insurance industry
After exploratory analysis of the Texas Health Department data, using machine learning algorithms – linear regression, K-means to device the risk predictions & clusters
Devised a decision-making model for health insurance companies to assess their financial risk exposure from policyholders