Case studies · Lead Data Scientist

Work designed to change the next decision.

I help businesses turn messy commercial and operational data into better decisions.

I work on problems where better forecasting, experimentation or modelling can make the next action clearer.

Pricing & forecasting

Turning noisy demand and capacity signals into actionable pricing decisions.

Decision: When and how much to intervene — and when to leave price alone.

Experimentation

Designing experiments that answer commercial decisions, not merely produce statistically significant results.

Decision: Whether a commercial change should be rolled out, and what risk that decision accepts.

Commercial analytics

Turning fragmented operational signals into a decision tool that tells teams where to look first.

Decision: Find the likely cause of a performance change quickly and focus investigation.

Case studies use anonymised descriptions and illustrative data. No confidential or proprietary employer/client data is shown.