A data science leader with proven business results.

I’m VMLY&R’s Director of Customer Analytics for Europe.

I’ve built, and led teams to build, data science solutions with impactful results for different businesses. Here are some examples.

Examples of business results.

  • Influenced £4M in revenue from AI-infused software products for the insurance industry.

    • Process claims with explainable and fair AI (link).

    • Optimise the allocation of claims to reduce costs (link).

  • Picture of two cows.

    Helped vets predict infectious disease risk in animals worth £15M/year in expected savings.

  • Unhappy person

    Discovered an overlooked group of unsatisfied customers worth £8M/year for a transport company.

  • Movie studio

    Optimised a media company's investment portfolio worth an expected £1.5M/year increase in profits.

  • Coins

    Predicted insurance claims outcomes for a bank worth £1.4M/year in expected savings.

If data science can improve business results, why are there so few success stories?

Because data science is usually disconnected from the other parts of a business, as I argue in my peer-reviewed article.

This prevents businesses from achieving sufficient returns on their data science investments.

I do things differently.

I drive results by bridging the technical, organisational and strategic aspects with my unique background in both data science and business.