Camille

Policy Research & Data

Policy researcher finishing my Political Science degree at Athabasca University. I transform complex public civic data into clear narratives; currently working on my analysis of zoning changes in Calgary, and documenting how zoning changes reshape communities through quantitative analysis.

My work looks at questions that occupy space in everyone's mind: How do regulatory changes ripple through markets? What stories do city documents tell? When the rubber meets the road and policy changes are enacted, what actually changes?

This site serves as a portfolio host, but also as a playground... a chance to use data science skills, with real data and real-world implications.

→ See you in New York, Fall 2026

About

I frame the inquiry, do the engineering, and interpret what the results actually mean for people.

Tools: Python (Pandas/NumPy), SQL, Streamlit, Interrupted Time Series Analysis

Domains: AI governance, urban planning, housing economics, nonprofit operations

Languages: English, Russian (heritage speaker)

Work style: Remote-first, async collaboration across distributed teams

The Questions Behind the Code

INPUT (PYTHON)
df.groupby('ward')['starts'].pct_change()
"Which communities are actually bearing the density?"
INPUT (STATSMODELS)
model.pvalues['intervention'] < 0.05
"Is this result a real trend, or just political noise?"

Projects

Calgary Rezoning Analysis

Calgary construction

In 2023 I wrote "A Manufactured Crisis"a community research report on how financialization transforms housing into investment assets. I recommended aggressive rezoning as one of five policy solutions.

When Calgary actually implemented blanket rezoning in 2024, I came back to measure what happened. The answer surprised me: construction starts dropped 16% after deregulation. The opposite of what the policy was supposed to do. I used Interrupted Time Series analysis on CMHC data to test whether the policy caused the change, or whether I was just seeing noise.

The research caught attention from University of Calgary faculty and started conversations about how we actually evaluate whether policies work.

HR Turnover Tool

HR turnover dashboard

Direct support professions have brutal turnover, 40-45% at the organization I worked for. Everyone treats it as inevitable and I was given the chance to analyze it. I wanted to know: what does that actually cost? And can you see it coming?

Built a Streamlit dashboard that surfaces turnover costs and flags at-risk employees. The model estimated ~$250K in annual turnover costs, which made retention investments easier to justify. Most turnover occurred in months 3-6 (the onboarding failure window), which indicates where to focus. A modified version is currently in use by senior leadership; this app has a Sankey diagram, however.

FleetTracker

Fleet email

Nonprofits manage vehicle fleets with email chains and scattered spreadsheets. I had to scan manually, vehicle incident forms, leases, and service files, and I wanted a better way. Incident reports also get lost, coverage gaps go unnoticed, and insurance claims take forever because nobody can find the documentation.

I built a system that runs entirely on Google Workspace, zero servers, zero hosting costs. Form submission triggers automated folder creation, email notifications, and coverage lookups. Claims processing went from 3-5 days to same-day. I designed it so someone non-technical could maintain it after I leave.

Background

Operations Administrator at Closer to Home Community Services, May–December 2025. Started as a volunteer, ended up managing organization-wide systems at a $18.9M nonprofit. Wrote the FY2025 Board Report. Co-managed Imagine Canada accreditation. Built the systems described above.

Content Evaluation at Outlier, 2024–present. Reviewing AI-generated content for accuracy. Remote, async.

BA in Political Science from Athabasca University, graduating February 2026. Psychology minor.