End-to-end data-science and machine-learning projects on real public data — predictive modeling, statistical inference, forecasting, optimization, and experimentation across healthcare, energy, finance, retail, and beyond.
12-month horizon on real PEPFAR shipment records — Rwanda focus.
State-space + Fourier exog vs SARIMA on 145k hours of PJME load.
Poisson / Gamma / Tweedie GLMs on freMTPL2 with GBM challenger.
SARIMA + GBM with MinT-OLS to make item × store × week forecasts coherent.
MDP + Q-learning vs capped LP baseline on real KMPDC + SHA data.
Daily lake level on real Zambezi reservoir data; turbine discharge as exog.
Daily irradiance with weather covariates from NASA POWER API.
Tenure-as-time, churn-as-event; KM, Cox PH, Weibull AFT, log-rank stratification.
Daily volume forecast on top route + GBM price predictor across all routes.
Bedroom + property-type + neighborhood features on 9,607 Lagos sale listings.
Predict farm sales from lat/lon + farm + climate features across multiple African countries.
XGBoost vs RF vs LogReg with calibration plot and retention-queue ranking.
Welch t-tests + ANOVA + OLS adjustment + Bayesian posterior on a real 3-arm trial.
Data Kaggle CLI · NASA POWER · pandas · SQL · EDA matplotlib · seaborn · seasonal_decompose · Modeling statsmodels · scikit-learn · XGBoost · lifelines · Validation rolling-origin backtest · cross-validation · log-rank · ANOVA · calibration · Deployment FastAPI · Streamlit · pickled artifacts · scheduled retrain.
Mapped against four consulting pillars: advanced analytics & modeling, visualization & reporting, AI development & automation, collaboration & governance. The Techniques and Tools below back the first two. The applied AI work, supervision, and workshops that back the other two live on the consulting page.
PhD in Mathematics (Topology) from the University of Cape Town. Career split between rigorous applied mathematics and hands-on data science, with 10+ years of experience across healthcare, finance, energy, insurance, retail, and government environments. Co-author of The Shape of Data (No Starch Press, 2024) — a graduate-level textbook on geometry-based machine learning. h-index 12 across 18+ peer-reviewed papers. Bilingual EN/FR.