Turning data and AI into tools organisations actually use.

I build and implement analytics and AI systems, and I manage the projects that get them adopted. That means starting from the question an organisation needs answered, working through the data and the model, and finishing with something people rely on day to day.

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About

I work where data, AI and delivery meet. I take a problem from the first conversation to a working tool: shaping the question, building the analysis or model, and managing the rollout so the people who need it actually use it.

I explain things in plain English, keep stakeholders close throughout, and care more about what gets adopted than what looks impressive. I most enjoy working with [[charities, policy bodies, corporates and SMEs: confirm]] that want their data to change how they make decisions.

What I work with

Analysis and modelling

SQL
Python (pandas, scikit-learn, statsmodels)
R and Stata
Econometrics and statistical modelling
Forecasting
A/B testing and evaluation design
Advanced Excel

Financial and economic data

Bloomberg Terminal
Public finance and economic data (ONS, World Bank, IMF)
Survey data

Dashboards and reporting

Power BI and Tableau
Microsoft Fabric
Automated reports and Excel reporting
Executive summaries for non-technical readers

Data platforms and cloud

Microsoft Fabric and Databricks
AWS [[confirm which services]]
Azure [[confirm]]
SQL databases and data pipelines
Version control with Git and GitHub

AI implementation

LLM applications with the OpenAI and Anthropic APIs [[confirm]]
Retrieval-augmented generation and agents [[confirm]]
Prompt and workflow design
Machine learning models in production [[confirm]]
Evaluation and governance of AI tools [[confirm]]

Project delivery

End-to-end ownership, from scoping to adoption
Stakeholder management and requirements gathering
Agile and waterfall delivery
Vendor and budget management
Training non-technical teams
[[CV line 1: employer type, what was delivered, scale or outcome]]
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