I am a data scientist with a strong passion for explainable modelling, transport planning, and economic policy analysis. I have a particular interest in how mass transport systems connect communities and support economic growth.
I believe that transport networks are fundamental to creating more accessible, productive, and inclusive cities. Growing up in Norwich, England, I often wandered along old railway lines that had been converted into pedestrian paths, constantly imagining what they would have been like in their heyday. It was from that early curiosity that my passion for transport truly began.
I created this page, and the projects it showcases, to help shape the conversation around transport. I believe discussions should not be limited to simple revenue-and-cost calculations for new projects. Instead, we should focus on the broader impact: the benefits to the communities affected and the wider economic opportunities that well-planned transport networks can generate.
I hope my data-first approach can inspire others to think differently about transport. If my work resonates with you, or if you would like to discuss ideas, projects, or collaborations, please feel free to reach out—I'd love to connect.
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BSc Economics, Econometrics and Finance (with Placement Year)University of York — York, EnglandSep 2020 – Aug 2024
- Grade: 1st Class Honours
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AI and Data Science GraduateLloyds Banking Group — Edinburgh, ScotlandSep 2025 – Present
- Building cutting-edge fraud prevention models and supporting scam prevention use cases
- Accelerating statistical learning model development in CIB, aiming to reduce client onboarding timeline by >60%
- Utilising Generative AI for FX conversion models with a potential of £10M in business value
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Private Bank Securities Based Lending AnalystJP Morgan and Chase — Edinburgh, ScotlandJan 2025 – Sep 2025
- Underwrote over £500M of securities-backed Lombard loans for individuals and corporates
- Assessed and calculated derivative trading limits based on client requirements
- Conducted in-depth analysis of complex, high-value portfolios comprising liquid and tradable assets
- Automated manual processes using VBA (saving 5+ hours weekly) and Python (portfolio rebalancing solution)
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Research Development Fund AdministratorUniversity of York — York, EnglandFeb 2024 – Dec 2024
- Managed £4M+ in strategic research funding
- Built out back-end data infrastructure for accurate financial reporting
- Automated application workflows using JavaScript (saving ~4 hours per week)
- Produced quarterly funding reports and financial forecasts based on historical trends
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Technical Risk Analyst — Placement SchemeLloyds Banking Group — Edinburgh, ScotlandJul 2022 – Jul 2023
- Analysed corporate credit portfolios with £100Bn+ exposure
- Delivered weekly risk briefings to senior stakeholder groups (up to 25 attendees)
- Optimised SQL codebase, reducing update and processing times by 25%
- Assisted in BASEL III: CRD IV model development
- Led the technology team for the firm’s Quants Expo Day, launching an interactive Jobs Board used by 400+ participants
- Headed the data visualisation team as part of a pioneering Python migration project
- Interactive map with 350+ Scottish railway stations and live train departures/arrivals
- Colour-coded markers by usage volume, punctuality, or cancellation rates
- Interactive sparkline trend charts showing 37 periods of performance data
- Integrated Origin-Destination Matrix (ODM) data for journey analysis
- Station search with instant results and map navigation
- Per-region zoom thresholds for optimal information density
- Real-time data from the National Rail API