About.
I'm a Computer Science graduate from Swansea University with a passion for turning raw data into actionable insights. With 3+ years of experience in financial data analysis, I bridge the gap between technical expertise and business understanding.
My background spans Python, SQL, machine learning, and NLP, applied to real-world problems in finance, manufacturing, and web development. I thrive on finding patterns others miss and building tools that make data accessible.
When I'm not crunching numbers, you'll find me exploring new technologies and pushing the boundaries of what's possible with data.
Education.
BSc Computer Science
Swansea University
Key Modules
Dissertation
“Sentiment Analysis of Financial News Using Natural Language Processing” — Developed an NLP pipeline to classify financial news sentiment, achieving 87% accuracy using ensemble methods.
Experience.
Financial Data Analyst
Broadstone Group
2021 – PresentBuilt automated reporting dashboards processing 500K+ daily transactions using Python and SQL
Developed predictive models for cash flow forecasting, improving accuracy by 23%
Created data validation pipelines reducing manual error-checking time by 60%
Collaborated with stakeholders to translate complex data findings into actionable business strategies
Automated ETL processes handling financial datasets from multiple banking systems
DATA ANALYST
NZ Butter Co
2020–2021Analysed production and supply chain data. Built inventory forecasting models using Python and Excel VBA.
HEATING ENGINEER
Self-Employed
2016–2018Managed client scheduling, invoicing, and job costing. Developed systematic approach to diagnostics and problem-solving.
Skills.
No percentages. No skill bars. Just the tools I use to get things done.