I build quantitative systems that hold up when decisions matter.
I take complex problems from raw data through modelling, validation and delivery — turning uncertainty into evidence you can act on.
Different domains. The same standard of evidence.
End-to-end work spanning data collection, modelling, validation and decision-ready delivery.
Forecasting future sporting events
Built forecasting systems across football, golf and the NFL, combining domain-specific data with probabilistic models and genuine out-of-sample validation.
Calibration, log loss and Brier scores used to test whether the probabilities genuinely hold up.
Identifying hidden risk in cancer waiting times
Modelled breach risk across cancer types and NHS trusts, separating persistent underperformance from natural variation while making uncertainty explicit.
Decision-prioritisation outputs showed where intervention or further investigation was most justified.
Building a quantitative trading function
Connected centralised data, statistical research, model monitoring and automated executive reporting inside a high-pressure trading operation.
Reporting reduced from multiple days to approximately 15 minutes.
See the problems, methods, validation and impact together.
A concise overview of my experience across sports trading, probabilistic modelling, healthcare analytics and data infrastructure.
From uncertain data to a decision-ready system.
I work across the full quantitative lifecycle rather than treating the model as an isolated deliverable.
Quantify what is likely — and what remains uncertain.
Models designed around the decision, domain and cost of being wrong.
Test whether the result can genuinely be trusted.
Performance is measured honestly before technical output becomes organisational confidence.
Build the foundations that make reliable analysis possible.
Connected workflows that move cleanly from raw data through analysis to delivery.
Donovan Robertson
I am drawn to problems where the answer is uncertain and the right approach is not immediately obvious. Whether forecasting sporting events, identifying healthcare risk or improving an operational process, I enjoy learning the domain, challenging assumptions and testing whether the result can genuinely be trusted.
At Sports Information Services, I built quantitative infrastructure across centralised data, statistical research, model monitoring and executive reporting. My analysis contributed to a 10% profit-margin increase for the company’s largest B2B client, earning me a Star Performer rating and promotion.
Read my professional background →
The principles behind every piece of work.
Rigour is valuable only when it leads to a clearer decision.
Honest uncertainty
Calibrated probabilities, appropriate validation and clarity about what the evidence does and does not support.
Reproducible systems
Structured data, versioned models and repeatable workflows designed to be understood, tested and improved.
Clear decision support
Technical findings translated into practical outputs that stakeholders can understand, challenge and act on.
Insights from Donovan Robertson.
Need quantitative expertise on a difficult decision?
Barcelona-based and available remotely for contract, project-based and permanent opportunities.
Discuss an opportunity