I build the layer between raw data and the decisions it should drive — the pipelines that clean and model it, and the dashboards that make it readable. My work sits across Business Intelligence, data engineering and frontend development, which means I can take a dataset from its source files all the way to a screen someone actually uses.

In practice that means structuring and modelling data, building ETL/ELT pipelines, designing star schemas, and turning what comes out into dashboards people can read without a manual. The clearest example is further down this page: a 112,650-row Brazilian marketplace dataset taken from nine raw CSV files to three published Tableau dashboards.

Away from coding, I keep a strong connection to creative work through my background in sound design and digital marketing. I enjoy creating visuals and shaping ideas into engaging experiences, bringing a creative perspective to the way I approach branding, communication, and detail.

I'm a final-year Business Intelligence student at Clermont School of Business, looking for a BI or Data Analyst role. Analytics is the core of what I do — but it rarely stops at the dashboard. I also build what sits around the data: web apps with a real backend, AI and automation wired into existing SaaS workflows, and the front-end, from product interfaces to client-facing sites, that makes all of it usable. That range is deliberate, and the projects I'm shipping next are built to show it.