Sloane Stevenson Holtby,

A little bit about me:

My interest in sports analytics came naturally; affinity for sports and excellence in math. It started first as a multisport athlete, then through participating in fantasy leagues and bracket challenges. That curiosity for sports evolved into a technical focus: building tools that turn messy data into actionable insights.

Recently, I built a 2015–2024 NHL roster-economics dataset by joining Spotrac contract data with team results, quantified inequality using the Gini coefficient, and modeled wins (ROW) with Poisson GLM/GMM. The project is available as an interactive dashboard with takeaways for roster design, and I’m currently refining the research for publishing review later this year.

On the engineering side, I’ve worked across the full software development lifecycle: scoping, design, TypeScript/Python implementation, testing, CI/CD on Azure DevOps with SonarCloud gates, and post-release monitoring. I’ve standardized TypeScript-first repos, automated developer tasks with Bash, instrumented apps with structured metrics, and written runbooks that cut new-dev setup from ~8 hours to ~25 minutes. I also evaluated and rolled out GitHub Copilot with team guidelines to speed up safe, repeatable environments.

I also serve as the President of CodeJam, McGill Engineering’s largest hackathon. I lead a large team to plan and execute every aspect of a weekend-long event that hosts hundreds of participants, mentors, and industry sponsors. From logistics and sponsorships to technical infrastructure and team coordination, this role has sharpened my leadership, communication, and execution skills. It sets me apart as someone who not only builds real-world applicable systems, but also builds teams, drives initiatives, and delivers under pressure.

I am seeking roles in data science, analytics or software engineering, especially where rigorous analysis meets product constraints and real-world decisions.