Paul Agbekpornu

Ambitious, talented, and results-oriented, Paul holds a Master’s degree in Mathematical Statistics and Sciences. His career objective is to apply his expertise on the application of statistical machine learning and stochastic analysis. He has proven interpersonal and time management ability developed through academic projects, work and volunteer experience.

Experience

Project: Classification and Prediction of the VIX - Volatility Index [UofT], Sep. 2023 - Oct. 2023

• Investigated the correlation between the S&P 500 Index (SPX) & the Volatility Index (VIX) over 10-year period using datasets from Yahoo Finance.
• A Gaussian Mixture Model (GMM) was used to capture latent patterns within the VIX index.

Project: Estimating Premium & Benefit Reserve [UofT], Jul. 2023 - Sep. 2023

• Calculated augmented expense premiums using the normal approximation method.
• Forecasted the benefit reserve at the end of each month for the first five years.
• Predicted, simulated & compared the profit of the whole life & endowment life insurance using Python.

MPhil Research Project: Application of Bootstrap Methods to Risk Theory (Insurance & Reinsurance) [KNUST], Jan. 2021 - Mar. 2023

• Compared the premium setting principles of simulated data-set of Log-normal, Gamma, Exponential & Pareto distributions using R.
• Examined excess of loss reinsurance using bootstrap approach & measured their riskiness to the insurer & reinsurer.
• Utilized bootstrap approach to predict the premium price of general insurance products using scarce data-set.

Prudential Life Insurance Ghana (PLIG)
Financial Consultant, Jul. 2020 - Jul. 2021

• Ensured clients were adequately covered against illness or accident through appropriate insurance coverage.

Skills

• Technical: R
• Python
• AXIS
• Microsoft 365

Professional Certificates & Awards

• MasterCard Foundation Scholarship - UofT: 2024.
• AIMS Scholarship: 2019.