I am a data scientist with a strong interest in applying econometric methods to questions of economic policy. My work spans labour economics, impact evaluation, and the intersection of public policy and data science. At my core, I am interested in using rigorous statistical methods to answer questions that matter: how do markets allocate wages, who gets left behind by policy decisions, and what is the true economic cost of under-investment in public services?

Growing up in a working class household shaped how I think about these questions. I saw first-hand how policy decisions, often made far away and with little nuance, affect the everyday lives of real people. That experience made me want to understand the mechanisms behind inequality and opportunity, and to use data rigorously rather than selectively. I am drawn to research questions where the evidence is more complicated than the headlines suggest.

I built this page to share that work and to make it as accessible as possible. The methods we use to evaluate policy interventions and model economic behaviour have real implications for how decisions get made, and I want to help bridge that gap between rigorous analysis and clear communication.

If my approach resonates with you, or if you would like to discuss research, methodology, or potential collaborations, I would love to hear from you.

• BSc Economics, Econometrics and Finance (with Placement Year)
  University of York — York, England
  Sep 2020 – Aug 2024
  • Grade: 1st Class Honours

• AI and Data Science Graduate Scheme
  Lloyds Banking Group — Edinburgh, Scotland
  Sep 2025 – Present
  • Group Economics Current
    May 2026 – Present
    • Supporting economic analysis and quantitative modelling within the Group Economics function
    • Contributing to the build-out of data infrastructure on GCP to support economic modelling and reporting at scale
  • AI Centre of Excellence
    Sep 2025 – May 2026
    • Utilised AI to improve FX Conversion models generating over £10M in business value
    • Built a Generative AI based web-scraping solution to empower existing market intelligence
• Private Bank Securities Based Lending Analyst
  JP Morgan and Chase — Edinburgh, Scotland
  Jan 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)
• Research Development Fund Administrator
  University of York — York, England
  Feb 2024 – Dec 2024
  • Managed over £4M in strategic research funding
  • Built back-end data infrastructure for accurate financial reporting
  • Automated application workflows using JavaScript (saving ~4 hours per week)
• Technical Risk Analyst — Placement Scheme
  Lloyds Banking Group — Edinburgh, Scotland
  Jul 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