Computer Science graduate (University of the Witwatersrand) with first-class marks in mathematics, and a Data Analyst at iqbusiness. I turn data into calibrated probabilities and risk-aware decisions — and I'm building toward quantitative and credit-risk work.
- v8-quant-football-model — a match-forecasting & staking engine: Dixon-Coles goal modelling with Bayesian shrinkage, probability calibration, fractional-Kelly staking, and walk-forward backtesting with closing-line value as the edge proof. In development.
- credit-default-scorecard — a bank-style probability-of-default scorecard: WOE/IV feature engineering, logistic PD model, KS/Gini/AUC/PSI validation, PDO score scaling with reason codes, benchmarked against a gradient-boosted model. In development.
- survey-overlap-qc & survey-compact-to-binary — Python tooling for survey-data quality control and reshaping compact responses into analysis-ready form.
Probabilistic forecasting · probability calibration · position sizing under uncertainty · credit-risk modelling (PD / scorecards) · backtesting & validation.
Python (pandas · NumPy · scikit-learn · statsmodels) · SQL · Power BI · Git · Jupyter
BSc Computer Science, University of the Witwatersrand (2020–2024) — first-class marks in mathematics: probability, statistics, linear algebra.
