Analytics Grad Student & Developer
I'm a Master of Management Analytics student at the University of Alberta, with a computing science degree and a business minor. Across two internships and a range of projects I've built data pipelines, dashboards, and web apps, with a focus on making data usable and trustworthy. I'm based in Edmonton, and outside of school and work I'm usually out somewhere with my camera.
Aug 2025 – Dec 2026 (expected)
University of Alberta, internship program
A course-based Alberta School of Business program in data analytics, machine learning, and AI for business decision-making, taught through case studies and hands-on projects.
Sep 2019 – Dec 2024
University of Alberta, internship program
A specialization degree with concentrated study in computing science, covering algorithms, data structures, software engineering, databases, and web development, paired with a business minor.
May 2024 – Aug 2024
Edmonton, AB
Built a Python pipeline that pulled data out of unstructured documents to prepare review templates, wrote Excel validation macros for report submissions, and led a Python automation seminar for technical and non-technical staff.
Sep 2022 – Aug 2023
Edmonton, AB
Worked on a Django and SQL Server data management system: built an ETL pipeline with automated data validation, added dashboards and workflow features, wrote SQL migrations for large tables, and handled documentation and feature demos.
Apr 2026 – Aug 2026
Graduate capstone analyzing income-tested benefit programs. Involves building a structured dataset from written program rules, modelling how benefits interact across income ranges, and a case-simulation app built on an agentic AI framework, with outputs checked against the actual program rules.
Python, agentic AI
Jun 2026 – Jul 2026
Operational dashboard that helps City of Edmonton field supervisors decide where to send crews, built with a spec-driven agentic AI workflow. A DuckDB pipeline turns 3.2 million 311 records into priority scores and SLA benchmarks, powering a static React map-and-charts app on GitHub Pages.
Python, DuckDB, React, Plotly, MapLibre, agentic AI
View on GitHubJan 2026 – Apr 2026
Demand forecasting and network design for a logistics case. An XGBoost pipeline forecasts demand by SKU class from over a million orders, and a two-stage stochastic optimization model allocates capacity and routes commodity flows across a 103-node network, cutting costs by about 4%.
Python, XGBoost, K-Means, stochastic optimization
View on GitHubJan 2026
Neighbourhood-level analysis of City of Edmonton census data. Covers demographic, education, and citizenship patterns across the city, with the data prepared in pandas, interactive charts built in Plotly, and spatial maps in Folium.
Python, Plotly, Folium
View on GitHubSep 2025 – Dec 2025
ETL pipeline that loads 25 seasons of NBA data from public APIs into a normalized MySQL database on Google Cloud. The database spans eight-plus related tables, with Tableau dashboards covering player performance, team stats, salaries, and attendance.
Python, MySQL, Google Cloud, Tableau
View on GitHubSep 2025 – Dec 2025
Attendance forecasting and playoff prediction from 20 seasons of NFL data. An XGBoost pipeline with 25-plus engineered features predicts weekly attendance within about 1,400 fans, and a logistic regression playoff classifier backed financial recommendations for the Pittsburgh Steelers front office.
Python, XGBoost, Scikit-learn, Pandas
View on GitHubJan 2024 – Apr 2024
A distributed social networking platform built as a team project. Django REST APIs handle authentication, posts, and server-to-server sharing so users on separate servers can interact, with a Vue front end and PostgreSQL underneath.
Django REST, Vue, PostgreSQL
View on GitHubSep 2023 – Dec 2023
An Android inventory management app built in a team using agile sprints. Applies object-oriented design across the codebase, with Firebase handling storage and sync, JUnit test coverage, and a focus on usable UI and database performance.
Java, Firebase, JUnit
View on GitHub
