• Constructed trend curves on R shiny to enhance the process of estimating the fitted parameters and distribution of empirical losses • Programed Monte Carlo simulations on R shiny to analyze the empirical loss size per yearly claims over multiple years • Reconciled monthly policy data from an MGA on RStudio to prepare data for segmentation analysis• Performed segmentation analysis on RStudio to evaluate an MGA’s premium performance among their critical segmentation factors • Reformatted MGA claim data on RStudio to transform data into triangle format for both accident and policy year

• Courses: Applied Statistics (M358K), Interest Theory (M329F)• Graded and explained solutions for homework and other assessments

• Renewed multi-line insurance policies for car dealerships to ensure other underwriters could carry out endorsements• Prepared claims in a timely and effective manner so Claims Adjusters could better investigate losses that occurred• Oversaw invoice and mail inbox to assist Claims department in carrying out their obligations to third parties • Planned and facilitated a Commercial Business Simulation to showcase knowledge in the P&C insurance field