Mitchell Palmer
Scientific Data Analyst
Hey there,
I’m Mitchell, a data analyst with foundations in logistics, e-commerce, and sustainability-focused operations. I pair rigorous analysis with human-centred thinking, building automations and analysis 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 investigate problems, identify broken processes, and prototype models that reveal what matters.
I’m currently sharpening Python and statistics through hands-on projects, and learning JavaScript for product development. Combining technical skills with creativity from my interests in philosophy, outdoor sport, and photography.
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. These experiences gave me a first-hand view of business development inside dynamic environments. This sparked a deep ambition to help operations use data for strategic growth and connect my personal satisfaction of outdoor environmental passions. I now believe intuition lights the path forward, but it is structure and insight that give us the foundations for sound decision-making.
My aim is to help organisations thrive in the face of a changing environment. Whether it is to build and analyse databases of successful environmental initiatives, extract regional climate insights to inform government action, produce vision model projects to identify reforestation, build data pipelines in small businesses to enhance efficiency, or assess the impact of Canada’s wildfire seasons on public health and economic growth. I’m driven by opportunities to deepen our understanding of the environment and foster genuine collaboration with it.
Turn raw data into actionable insights using Python, SQL and statistical analysis. Support strategic decisions, operational improvements, and business growth.
Design ML-driven solutions to uncover patterns, optimise workflows, and build predictive models that inform smarter decision-making.
Utilise geospatial and climate data to support resilience planning, environmental forecasting, and sustainability strategy. Bridge business and ecosystems through measurable insight.
Create compelling visual narratives and dashboards for stakeholders that elevate understanding and bring data stories to life.
Automate data refreshes and operational workflows so teams spend less time in spreadsheets and more time acting on insights.
