A data science leader with proven business results.

I’m a Managing Director - Analytics, USA, at VML, working for a F100 automotive manufacturer.

I lead teams to proactively solve the right business problems with data science. Whether it's helping Fortune 500 companies or government agencies, I have delivered impactful results worth millions of dollars.

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 identifying the most impactful business problems and solving them by bridging the technical, organisational and strategic aspects with my unique background in both data science and business.