2025: piccard2
Skills: Clustering algorithms, data visualization and spatial data in Python, package deployment
Supervisor: Prof. Fernando Calderon Figueroa (Dept. of Human Geography, UofT Scarborough)
In summer 2025, I participated in the
Summer Undergraduate Data Science (SUDS) program's 2025 cohort working on
an update to
piccard, a Python package intended to make it easier to analyze geographically inconsistent census data using a graph data structure.
You can learn more about piccard
here and install it via
PyPI.
View the git repo
here.
2024: GTA Urban Emissions Project
Skills: Full-stack web development, PHP, PostgreSQL, Salesforce products, Leaflet web mapping, spatial analysis with R and ArcGIS
Supervisors: Profs. Robert Soden (Dept. of Computer Science, UofT St. George) and Debra Wunch (Dept. of Physics, UofT St. George)
In the summer of 2024, I participated in the
Toronto Climate Summer School, during which my collaborators
and I investigated a previously unknown source of methane in Toronto's Junction neighbourhood. That fall, I continued
my work with Prof. Wunch's GTA Urban Emissions Project as an independent study. I conducted statistical and spatial analysis
to identify possible new sources of methane emissions in Toronto, developed a comprehensive citizen
science strategy for the GTA Urban Emissions Project, and designed a new user-friendly website for the group.
The updated website's domain has unfortunately expired but you can still view the git repo
here. Also, my final
paper for the independent study is available on the writing page.
2023: Bound to Big Oil Report
Skills: Webscraping, excel sheet manipulation with pandas
In the fall of 2023, I wrote Python scripts to automate data collection for Climate Justice UofT's
2024 Bound to Big Oil Report. View the report
here (*)
and the git repo
here.