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Data scientist | Energy industry
Data scientist and engineer based in the UK, working in the energy industry. Most of my time is spent building data platforms, pipelines, and the occasional dashboard.
About Me
I work in the UK energy industry, building data platforms, operational tools, and analytics dashboards. Day to day that means Python, SQL, and Google Cloud — data pipelines in BigQuery, APIs in FastAPI, dashboards in React and Plotly, and deploying production infrastructure to support it all. The domain side covers heat pumps, building physics, and renewable energy.
Before that, I studied Civil Engineering at the University of Southampton (MEng, 2014) and stayed on for a PhD in the Sustainable Energy Research Group. The research was on building energy simulation and domestic energy demand — lots of geospatial analysis, statistical modelling, and large-scale simulation. The thesis is online if you're curious. I enjoyed the research but found I preferred building things to writing papers, so I moved into industry.
Career
- Building the data platform from scratch — pipelines, warehouse, APIs, dashboards
- Google Cloud, BigQuery, Terraform, FastAPI
- Focus on heat pump performance and decarbonisation
Education
PhD Sustainable Energy
2014 – 2017University of Southampton · Sustainable Energy Research Group
Research focused on building energy simulation and the factors influencing domestic energy demand. Combined geospatial analysis, statistical modelling, and large-scale building physics simulation.
Read thesisMEng Civil Engineering (1st)
2010 – 2014University of Southampton
Skills
Languages
Infrastructure
Domain
Currently
- ▸ Building data platforms for the energy industry
- ▸ Exploring what AI-assisted development means for data science workflows
- ▸ Tinkering with smart home sensors and environmental monitoring