Turning messy data into clear decisions.
Let's shape insights that ship.

Armed with a Master's in Data Analytics (Distinction), I specialise in data engineering, analytics, and machine learning—turning chaotic data into models, dashboards, and APIs that (usually) behave themselves. I've built predictive engines, NLP workflows, forecasting pipelines, and full-stack data apps using Python, R, SQL, Power BI, FastAPI, Next.js, and PostgreSQL. Beyond analytics, I'm equally at home in the SaaS engineering space — designing multi-tenant architectures, building versioned RESTful API layers, orchestrating async workloads, and integrating LLMs into production systems with a focus on cost efficiency and auditability.

Before choosing the glamorous life of a data person, I spent 2.5+ years keeping SAP S/4HANA systems alive across banking, manufacturing, retail, and energy clients. Migrations, upgrades, DR drills, performance tuning—if it could break, I've probably fixed it. That experience now gives me a rare understanding of enterprise data at scale and lets me move comfortably between analytical and operational worlds, building solutions that actually make sense in real organisations.