What I do

I work between the data team and the business — and stay with a model until someone can act on the answer.

1. [01]

   Promotional return

   Separating what a promotion actually caused from what would have happened anyway, and finding the point where spending more stops paying.

2. [02]

   Demand forecasting

   Predicting what each customer will order and when, including the hard case: the ones who buy rarely and irregularly.

3. [03]

   Customer segmentation

   Grouping customers by how they behave rather than who they are, then turning those groups into something a commercial team can act on.

4. [04]

   Translating both ways

   Turning a vague commercial question into something a model can answer, and a model’s output into something a committee can act on.