Healthcare Analytics & AI
CDC, NCHS and California hospital data turned into a causes-of-death race, an animated obesity map, a live SAS decision tree and more.
Every project here starts with a messy real-world dataset and ends in a live, interactive model. Drag a slider, change an assumption, and watch the answer change.
Two interactive portfolios, a live behavioural-research platform and an enterprise-systems analysis.
CDC, NCHS and California hospital data turned into a causes-of-death race, an animated obesity map, a live SAS decision tree and more.
Optimisation and decision models that re-solve live in the browser: product mix, shipping, staffing, investing, and decisions under uncertainty.
Live study
Does trust in AI advice depend on where its errors fall? A 30-week warehouse simulation with a calibrated LightGBM stockout-risk model, deployed as a live study.
The study opens with three numeracy questions (Schwartz et al., 1997); two of three correct are needed to continue.
SAP S/4HANA
SQL analysis of SAP S/4HANA sales orders, regression modelling, and end-to-end process documentation across order-to-cash, procure-to-pay, production and finance.
Each one runs on real data and responds as you change it. Hover to pause, click to open.
Public health records, hospital filings, survey data and ERP transactions, never toy examples.
Duplicates, gaps and suppressed values are handled explicitly and documented, not hidden.
Regression, optimisation, decision trees and clustering, chosen for the decision at hand.
Every headline number is recomputed from the source, then published as something people can explore.
Every model shows its inputs, and every project links to its data and method. Open one and change an assumption.