Assistant: Statistical Programming at University of Free State (2025-01 – Present)
- Assisted with implementing statistical and machine learning models in R, including data preparation, model development, evaluation, and interpretation.
- Provided one-on-one and group academic consultations to over 100 Statistical Programming students under the supervision of Dr Niladri Chakraborty of the Department of Mathematical Statistics and Actuarial Science.
- Marked assessments, recorded student results, and provided constructive feedback to support academic development
Actuarial Modelling CEAP at Claxon Actuaries (2024-01 – 2025-12)
- Researched the application of IFRS17 Measurement Models (GMM, PAA, VFA) for insurance companies.
- Cleaned and validated insurance datasets (removing duplicates, blank entries, and inconsistencies) using Python
- Built actuarial models for life insurance products using Excel and Python
- Mastered Python fundamentals, object-oriented and functional programming, data analysis with Pandas, and introductory machine learning with Scikit-learn.
Junior Actuarial Analyst at Actuaries In the Making (AIM) (2024-01 – 2024-12)
- Developed and implemented investment portfolio models to meet client goals under return and variance constraints.
- Cleaned and analysed equity data using statistical techniques (mean, variance, skewness, kurtosis) to test normality.
- Hypothesis testing: designing hypothesis, documenting control and testing
- Built a portfolio optimisation model to determine optimal asset weights under different correlation assumptions, ensuring alignment with client objectives.
- Produced a professional report summarising methodology, assumptions, key findings, and recommendations for improved modelling approaches.
Junior Actuarial Analyst at Actuaries In the Making (AIM) (2023-01 – 2023-12)
- Analyzed member movement and benefit options for a restricted medical scheme, focusing on pricing, valuation, and risk assessment.
- Used Excel to cleaned and validated insurance datasets (removing duplicates, blank entries, outliers and etc.)
- Evaluated cost implications of potential new contraceptive benefits to provide strategic actuarial insights.
- Collaborated with the team on detailed reports and recommendations presented to senior leadership.
Data Science Intern at South African Graduate Employer Association (2022-01 – 2022-12)
- Analysed the impact of payment holidays on bank stakeholders, balancing short-term relief for clients with long-term financial implications.
- Optimised the approval process for payment holiday applications by developing recommendations for automation and improved efficiency.
- Cleaned and validated financial datasets (removing duplicates, blank entries, and inconsistencies) and conducted logistic regression to assess risk factors.
- Delivered findings through a professional presentation to highlight risks and efficiency improvements.
Calculus and Mathematical Statistics Tutor at University of Johannesburg (2020-01 – 2022-12)
- Delivered tutorials and one-on-one academic consultations for first-year Calculus, Mathematical Statistics and second year Mathematical Statistics under Dr Andrew Craig and Dr Van Appel.
- Assessed assignments, tests, and assisted with practical course using Microsoft Excel and R for statistical analysis.
- Assisted with examination administration, including invigilation and script marking.
