About Me
I am a results-driven Analyst and Engineer specialising in building automated data solutions. With a First Class Honours degree in Mathematics from Imperial College London, I combine rigorous quantitative skills with full-stack development expertise in Python, Flask, and modern AI models like Gemini and Claude. I excel at transforming complex manual workflows into efficient, scalable systems that deliver measurable value and significant cost savings for clients in finance, law, and corporate sectors.
Featured Projects
Modern Slavery Benchmark Automation
Client: CCLA Investment Management
Developed a Gemini-powered scoring system that achieved 95% accuracy against manual assessments, reducing a half-year benchmarking process to just weeks per project.
Maritime Regulatory Compliance Tool
Client: Law Firms
Built an automated Python system to analyse c.500 regulations, extracting and structuring over 5,000 key compliance insights for clients within two weeks.
Claims Assessment Web Tool
Client: Corporates
Created a web application that analyses corporate documents for unsubstantiated ESG claims, generating risk assessment reports with actionable mitigation steps.
Net Zero Policy Analysis System
Client: UN PRI
Implemented an LLM-based classification system to analyse over 1,000 climate policies, reducing processing costs by 80% through advanced caching algorithms.
Core Skills
Programming & Development
AI / ML
Data Engineering & Infrastructure
Career & Education
Dec 2023 - Current
Analyst
Canbury Insights, London
Nov 2023
Professional Certifications
- Financial Engineering and Risk Management - Columbia University
- Financial Markets (with Honours) - Yale University
Oct 2019 - Oct 2023
MSci Mathematics, First Class Honours
Imperial College London