Sbusiso-Mdingi

Actuarial and data analyst with strong interests in data science, time series analysis, and insurance analytics.

🔍 Areas of Focus

Cross-Line Tail Risk Modelling Using Copulas
Actuarial risk modelling project analysing tail dependence between life insurance mortality losses and property catastrophe claims using copulas. The project demonstrates how dependence assumptions materially affect aggregate loss distributions, diversification benefits, and economic capital estimation. Implemented in Python, it focuses on joint extreme risk and multi-line portfolio risk aggregation, reflecting real-world insurer capital modelling challenges.
👉 github.com/Sbusiso-Mdingi/cross-line-tail-risk-modelling

Health Insurance Pricing Model
End-to-end actuarial pricing project implementing a classical frequency–severity framework in R. The workflow covers data simulation, risk classification, and premium calculation, with results deployed in an interactive pricing dashboard for non-technical stakeholders. Claim frequency and severity are modelled using key rating factors including age, BMI, smoking status, and number of dependents, and combined to estimate expected annual healthcare costs and risk-based premiums. The project mirrors real-world insurer pricing practice while remaining transparent and explainable.
👉 github.com/Sbusiso-Mdingi/health-insurance-pricing-model

Secure Steganographic Messaging System
Secure messaging system that combines modern cryptography with image-based steganography to encrypt and covertly transmit sensitive information. The project simulates a real-world security product by incorporating threat modelling, adversarial testing, and recovery logic to evaluate resilience against tampering and forensic analysis. It demonstrates applied cryptography, secure system design, and information security principles.
👉 github.com/Sbusiso-Mdingi/stego-messenger

R, Python, Git, SQL, Excel