About

I build analytical work that holds up when someone checks it: reports and models, plus the documentation that explains how every number was made.

My projects span business intelligence, spatial analysis, forecasting and causal inference. I prefer problems where the data is imperfect and the result has to make sense to someone who didn’t build it.

That means testing an assumption before trusting a result, saying plainly what an analysis can’t prove, and keeping my own work separate from a team’s.

I use Formula 1 data to practise forecasting, strategy modelling and the effect of rule changes.