I help organisations make better operational decisions through analysis, statistical thinking, and automation.

I'm Mitchell, a data professional with foundations in logistics, e-commerce, and sustainability-focused operations. I pair rigorous analysis with human-centred thinking, building automations and scientific pipelines that turn messy data into clear decisions.

My path runs from laboratory work to inventory forecasting, growing e-commerce platforms, coordinating global freight, launching carbon-neutral initiatives, and redesigning internal processes for efficiency.

I care about building systems and products that teams actually use. Working inside small, fast-moving organisations, I've seen how data guides strategy, reduces complexity, and unlocks growth.

With a background in psychology and years in hospitality, I understand how people interpret information, skills that translate directly to analysis and communication.

I'm currently sharpening Python and statistics through hands-on projects and readings. Resources including formal statistics textbooks such as 'An Introduction to Statistical Learning' by Gareth James, and popular education pieces like 'Thinking Fast & Slow' by Daniel Kahneman.

When I'm not immersed in data, you'll find me on a trail, in the ocean, behind a camera, or reading about how we can better connect technology, people, and the natural world.

After completing university, like many graduates, I found myself unsure of my career trajectory. My passion for skiing led me to Canada, pursuing personal growth in backcountry environments and professional opportunities within the outdoor industry.

Opportunities to immerse myself in outdoor sports industries and learn from entrepreneurs taught me the value of merging personal interests with professional skills to drive success.

I now believe intuition lights the path forward, but it is structure and insight that give us the foundations for sound decision-making.