I’m a data analyst with an engineering degree from Western University and a background spanning finance, edtech, manufacturing, and hospitality, which sounds eclectic, but there’s a through-line: I’ve always gravitated toward messy, real-world problems that data can help solve.

My technical foundation was built during my degree, interning at RBC as an operational risk analyst, then developed across analytics roles in a Canadian edtech startup and an automotive manufacturer. I recently completed the Google Advanced Data Analytics Professional Certificate, extending those skills into machine learning and predictive modelling with Python, R, and BigQuery.

The last three and a half years have been an intentional detour into hospitality operations. What started as a deliberate pause became something I’m genuinely proud of: promoted to Assistant Manager at the Barbican Bar & Grill by Searcys, leading a team and applying data thinking to real operational problems — including a stock redesign that cut excess inventory by ~30%. I now bring something many analysts lack: firsthand understanding of the operations behind the data.

Before all of this, I competed as a sprint kayaker at the national and international level — an experience that shaped how I approach hard problems, lead teams, and play the long game.

I’m currently based in London and looking for my next role as a data or product analyst. On this site you’ll find some of the projects I’ve been working on — take a look, and feel free to reach out via LinkedIn.