MSc in Artificial Intelligence & Data Science (Distinction)
Data Scientist — Machine Learning, Predictive Modelling & Simulation
I build machine-learning and simulation systems that turn complex data into something people can actually understand — and away from the screen I paint, cook, and love to travel.
Keele University
01 — About
I earned my MSc in Artificial Intelligence & Data Science with Distinction from Keele University. For my master's project, I built a system that helps predict heart disease from medical data. It didn't just give an answer — it could also explain the reasons behind each prediction, so that a doctor could understand and trust what the computer was suggesting.
Since then I've kept building. I've created projects that simulate how people negotiate, that model how wildlife moves through a forest, and that read satellite images to measure the health of forests. I've also co-authored published research in psychology and education. The common thread is simple: take something complicated and make it clear and useful.
Away from the screen, I paint, I cook, and I love visiting historical places. Right now I work as a Chef de Partie while I build toward my next role in data science and AI — a deliberate, resourceful chapter, not a gap. The kitchen and the desk ask for the same things: precision, calm under pressure, and care.
02 — Toolkit
Grouped by how I actually use them — from modelling and analysis to the craft of shipping something someone can read.
Building and explaining models end to end.
Designing studies and reading the numbers.
Turning models into things people can use.
03 — Experience
Research, operations, and hospitality. Each one taught me something the next needed.
Running a kitchen section on a flexible basis while building a portfolio of applied machine-learning and simulation projects and pursuing data science and AI opportunities — steady technical output alongside employment, with composure under pressure, strict hygiene compliance, and teamwork in a diverse kitchen.
Coordinated food service across large-scale events (up to 10,000 attendees), managing competing priorities and holding quality under peak-time pressure within a diverse, multicultural team.
Delivered consistent performance in a high-pressure, audit-driven environment with 100% hygiene compliance, and reduced ingredient shortages by 20% through proactive planning.
Ran competitor analysis and studied LinkedIn and Google Analytics data to guide strategy for the Flourish Project. Built a 3-year technology events calendar (HTML, CSS, JavaScript) and produced marketing and outreach content.
Improved recruitment data processes and supported growth initiatives, using data analysis techniques to strengthen recruitment outcomes and drive innovation.
Cleaned, prepared and statistically analysed a large survey dataset on learner autonomy and language-strategy use. Applied SPSS and AMOS for correlation and regression analysis, producing visual reports that supported academic publications and institutional decisions.
Managed production and operational projects end to end using MS Project, Asana, Excel and Tableau — schedules, Gantt charts and dashboards. Coordinated suppliers and staff, supported budgeting and inventory tracking, and analysed workflow data to cut delays and improve efficiency.
Managed day-to-day operations — inventory tracking, order processing and cross-department workflow — and prepared reports on sales, product efficiency and customer demand to support management decisions.
04 — Selected Work
Current focus: multi-agent simulation, agent-based modelling, and forest remote sensing. Full code lives on GitHub.
MSc Dissertation · Flagship
My master's project: a system that predicts heart disease from cardiac contraction data and, crucially, explains the reasons behind each prediction so clinicians can understand and trust it. Highly accurate and fully interpretable — now being extended with neuro-symbolic AI.
LLM · Multi-AgentA free-to-run simulator where AI agents negotiate with each other, developing shifting positions and a sense of reputation over time — a way to study how deals form.
Simulation · StatisticsFifty randomised runs of the negotiation simulator, analysed together to show how often agreements happen and how positions settle — turning many simulations into a clear picture of what's likely.
Agent-Based ModelA simulation of how animals use the landscape under different levels of forest management — showing how simple local behaviour adds up to big patterns across an ecosystem.
Remote Sensing · LiDARProcessing laser-scan data of a forest to build a canopy-height map and estimate tree heights — reconstructing the shape of the forest from a cloud of 3D points.
Remote Sensing · SatelliteUsing Sentinel-2 satellite imagery to measure vegetation greenness (NDVI) and map how healthy a forest is across a whole area.
Remote Sensing · RadarUsing Sentinel-1 radar data — which sees through cloud and darkness — to estimate how much forest is present across a landscape.
A live software "twin" of a building that simulates its sensors and automatically flags anything unusual — packaged with Docker so it runs anywhere.
Sifting through insurance data with SQL and an anomaly-detection model to spot the unusual claims most likely to be fraud.
More on GitHub — Power BI dashboards, SQL projects, a cloud-hosted cardiac API, and more. Browse all repositories
A computer-vision tool that reads number plates using OpenCV and OCR — an early hands-on project.
Predicting event ticket sales with time-series models (ARIMA, XGBoost) in a small team project.
A weather app that fetches live data through an API — an early software-development exercise.
05 — Research & Writing
Peer-reviewed and preprint research across psychology, education, and AI.
Further publications span AI in education, cyberbullying, and digital mental health. Full list available on request.
06 — Beyond the Screen
The parts that don't fit on a CV — and quietly make the rest better.
Colour, patience and composition. Painting is where I slow down and think differently — it's taught me as much about attention to detail as any dataset.
Indian food at heart, with a love for Mediterranean, Italian and Japanese flavours. Cooking is creativity you can share — and, these days, part of how I make a living too.
I enjoy writing — reflections on what I'm learning, the places I visit, and the small things worth noticing. Putting ideas into plain words keeps my thinking honest.
I love standing where history happened. Türkiye has a special hold on me — its history and old cities. Closer to home, I've recently explored a few beautiful corners of the UK, including the Lake District.
Topkapı Palace · Istanbul, Türkiye
Hierapolis · Pamukkale, Türkiye
Stonehenge · England07 — Contact
Open to data science and AI opportunities — and always happy to talk shop. The best places to reach me: