Business Analyst
I bridge stakeholder requirements and technical delivery, scoping, documenting, and building the solutions I analyse, including hands-on AI/LLM integration. Previously at JPMorgan Chase, Export Accelerator, and 180 Degrees Consulting.
I'm a Business Analyst who pairs stakeholder-facing requirements and process work with hands-on technical delivery — including AI/LLM integration — built through real client engagements with measurable outcomes.
At Export Accelerator, I led discovery and architecture for an 11-module CRM platform, translating stakeholder requirements into a full data architecture and working application modules. At J.P. Morgan Chase, I worked in fraud detection at scale, contributing to the prevention of $1M+ in quarterly losses and reducing investigation turnaround by 60%. At 180 Degrees Consulting, I applied the same analytical rigour to market intelligence and stakeholder workshops.
I hold an MSc in Business Analytics from Durham University (Merit, Scholarship recipient), with formal training in machine learning, statistical modelling, and predictive analytics. My background in business gives me a broader lens on the work. I approach analysis with an understanding of commercial context, stakeholder priorities, and the decisions the data ultimately needs to support.
End-to-end customer analytics on 1M+ UK e-commerce transactions. RFM segmentation, churn prediction, CLV modelling and campaign attribution — outputting a £12,500/month Google Ads + Klaviyo strategy.
Analysed 40k+ business records using Python to identify structural patterns in customer and competitor data. Segmented organisations into actionable profiles via clustering, with multi-year trend analysis to surface high-growth regions and strategic expansion opportunities.
Quantitative research suite covering commodity forecasting, contract pricing, credit risk ML, and optimisation algorithms. Completed as part of JPMorgan's virtual Quantitative Research programme.
Analysed financial time series data to assess stationarity and trend behaviour using statistical testing. Applied differencing and rolling averages to extract underlying trends from volatile datasets. Built reproducible preprocessing workflows to support consistent reporting.
View on GitHubOpen to Business Analyst roles in London and beyond, with strengths across AI-enabled delivery and data analytics. Also available for freelance analytics and consulting projects. Legally authorised to work in the UK.