I build small data-driven tools and experiments. All views my own. Not financial advice.
A selection of personal projects spanning finance, LLMs, data analysis, and web apps.
An interactive calculator that takes your income and works out the maximum home value you could afford to buy. Built for the UK market.
The US version of the affordability calculator — input your income and get the maximum home value you could afford, adapted for the American market.
Find the temporal midpoint between any number of London locations using real public transport data. Optimises for travel time — not distance — across the tube and bus network, so everyone arrives in roughly the same time.
Calculate what percentage of the world's land you've visited by entering the cities you've been to. A simple way to visualise how much of the globe you've actually explored.
An AI gym assistant that lives in Telegram. Log workouts in plain language, pull up exercise history with coaching notes, plan training cycles, and ask questions grounded in your actual data.
Interactive Jupyter notebook analysing UK property listings scraped from Rightmove. Explores pricing trends, area comparisons, and value-for-money metrics with rich visualisations.
Automatically generates quiz questions from any Wikipedia article. Pick a topic, get a quiz — no LLMs involved, just Wikipedia's content parsed and turned into trivia.
A personal Claude-powered bot with LLM response aggregation and ensembling. Queries multiple model calls and combines outputs for more robust, consistent answers.
Upload your CV and describe what you're looking for — Job Hunter scrapes job boards, scores each listing for fit, and returns a ranked spreadsheet of the best matches.
I'm a data scientist with a passion for building useful things — whether that's a financial model, a geospatial web app, or an LLM-powered tool.
I enjoy the full stack of data work: pulling and cleaning data, exploratory analysis, modelling, and shipping something people can actually use.
Outside of work I like to spend time on projects that scratch a personal itch — finding the best halfway pub being a prime example.