data analysis · mathematical modelling · research
Real data. Real mathematics. Honest analysis.
End-to-end projects on diamonds, healthcare, and oil and gas, built on the mathematics that makes the models work. Every project shows the data, the method, and what the numbers actually say.
// what I analyse
Four areas, one toolkit
01
Diamonds
Pricing across the 4Cs, inventory turn and ageing, demand by shape and size, natural versus lab-grown.
02
Healthcare
Clinical and public-health data: outcomes, survival and readmission, utilisation, interpretable risk models.
03
Oil & Gas
Well production and decline curves, field performance, price behaviour, forecasting under uncertainty.
04
Math Concepts
The ideas underneath the models: measure, linear algebra, probability, and why each one earns its place.
// latest
Recent writing
// the method
How every project is built
01
A real question
Every project starts with a question someone would actually pay to have answered, and a dataset that can answer it.
02
Clean and explore
The messy middle, shown in Python: what was wrong with the data, what was fixed, and what the first look reveals.
03
Model honestly
The simplest model that works, with its assumptions checked and its uncertainty reported rather than hidden.
04
Explain the maths
Where a method rests on a deeper idea, a companion explainer says why that idea exists and what it buys you.
New projects, by email
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