Portfolio

With experience across the outdoor and adventure-tourism industries, and a foundation in science and psychology, I build data products that improve how teams operate. I develop automations, analyze operational performance, and surface the trends that drive better decisions.

My work spans geospatial machine learning, inventory and logistics optimisation, e-commerce growth, marketing analytics, and customer-experience design. From managing multimillion-dollar supply chains to automating scheduling workflows, I build tools and translate data into practical, measurable outcomes.About Me

Projects

Salifort Motors Attrition Rates

A capstone project for the Google Advanced Data Analytics certification, this exploration investigates trends and variable associations through classification models between employee departures at the fictional Salifort Motors company.

Machine Learning Models, Exploratory Data Analysis, PACE Model framework, Data Cleaning, EDA, Feature Engineering, Visualisations, Executive Summary

European Alps Snowpack Depths

PostgreSQL and Python project analysing monthly snowpack trends across the European Alps using data from 2,794 weather stations. Focused on visualising seasonal changes, geographical differences, and high-elevation declines.

Geospatial querying (PostGIS), SQL aggregation, seasonal trend analysis, data cleaning, statistical testing, interactive dashboards

Climate Kegs – Carbon Neutrality Campaign

Partnering initially with Climate Neutral to measure emissions across RMU’s global operations, I redirected the project into a community-driven philanthropic sustainability campaign in response to funding limitations. This led to the creation of “Climate Kegs”, a tree-planting beer initiative launched in partnership with One Tree Planted.

Sustainability Strategy, Data Forecasting & Analysis, Cross-functional Team Leadership, Brand Messaging & Positioning, Team Management

Avalanche Canada Wildfire Explorer

Interactive web application exploring wildfire perimeters within Avalanche Canada forecast regions. It includes localized and national summary statistics, plus a derived Burn Severity Patches layer using Landsat reflectance-based burn severity and a minimum patch-size threshold to highlight areas for follow-on assessment.

Geospatial analysis (GIS), Remote sensing & burn severity (NBR/dNBR), Raster–vector workflows & patch extraction, Interactive mapping & data storytelling, Reproducibility & documentation

Tree Canopy Segmentation

Data science competition hosted by Solafune, focused on training a machine learning model to detect tree canopies in diverse urban environments using aerial and satellite imagery.

Geospatial Machine Learning, Image Segmentation (YOLO), Model Training & Evaluation, Annotation Format Conversion (COCO ↔ YOLO)

Sales Analytics: Ecommerce Growth to $500K

Led the development and expansion of RMU Skis’ ecommerce channel, achieving 40% year-over-year growth across two consecutive years. Analyzed website traffic, conversion rates, and SKU-level profitability to drive targeted marketing, optimize product strategy, and support data-driven decision-making.

Ecommerce Strategy, Forecasting & Inventory Planning, Cross-functional Team Collaboration, Data-Driven Marketing, Web Optimization & UX, SKU Portfolio Management, Reporting & Stakeholder Communication