Ten years scaling digital platforms — most recently helping a blockchain gaming product grow from 2,000 to 650,000+ users. Now completing an MSc in Computer Science at Aberystwyth, with a dissertation on fraud detection using dbt, BigQuery, XGBoost and SHAP.
A decade of building data muscles, now bringing them to UK fintech.
I work at the intersection of analytics, product, and engineering — designing KPI frameworks that survive scale, building behavioural segmentation that drives measurable engagement, and owning the data quality standards that leadership decisions actually depend on.
For the last six years I led analytics at CropBytes, a blockchain gaming platform. I joined as the early analytics hire and was part of the team that scaled the product from a couple of thousand users to over 650,000. Along the way I designed an in-app notification system using behavioural segmentation that delivered a 60% uplift in engagement, built decision-critical dashboards used in quarterly roadmap planning, and acted as the cross-functional accountability point for data quality.
I'm now completing an MSc in Computer Science at Aberystwyth University (graduating September 2026). My dissertation builds a production-style fraud detection pipeline on the IEEE-CIS dataset, comparing whether structured feature engineering through dbt measurably improves XGBoost classifier accuracy versus raw transaction inputs.
I'll be eligible for the UK Graduate Visa from September 2026 — no employer sponsorship required for the first two years post-graduation. I'm targeting Analytics Engineering, Senior Data Analyst, and Product Analyst roles in UK fintech, iGaming, and blockchain analytics.
Projects across MSc research, applied software, and side explorations.
End-to-end fraud detection system on the IEEE-CIS dataset (590K transactions, 3.5% fraud rate). BigQuery ingestion, dbt feature engineering, XGBoost classification, SHAP explainability. Research question: does layered dbt feature engineering measurably improve detection vs raw inputs?
Product Owner and backend developer in a seven-person Scrum team. Designed system architecture, led backend setup with FastAPI and PostgreSQL, built core commitment and group logic. Delivered 67 automated tests (100% pass rate) and an 8.8/10 UAT satisfaction score.
Single-file, deployable interactive dashboards on Indian civic and economic data: Union Budget Sankey diagram, Election Commission dashboards, and a Progressive Web App redesign concept for myneta.info. A personal exploration of data journalism.
Ten years across systems engineering and analytics — built on data, not slides.
Owned the analytics function for a 650K+ user platform. Designed an in-app notification system delivering a 60% engagement uplift, built leadership dashboards driving quarterly roadmap decisions, and acted as the cross-functional accountability point for data quality.
Joined as the early analytics hire and helped scale the platform from ~2,000 to 650,000+ users through behavioural analysis, retention modelling, and cohort tracking. Defined the company's initial KPI framework and reporting standards.
Designed and maintained a custom ERP system covering sales, procurement, and employee management. Led production payment gateway integration. The engineering foundation that shapes how I think about end-to-end data systems today.
Comfortable across the data stack — from raw SQL to ML explainability.
If you're hiring for senior analytics, analytics engineering, or product analytics roles in UK fintech, iGaming, or blockchain analytics — or you're working on something interesting at the intersection of data and product — I'd love to talk.