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Erma Swartz

model · map · sense · argue

I've built tools from the ground up, from a 3D-printed air quality sensor to spatial analyses of NYC's waste system, and used them to model 57M tCO₂e in potential emissions reductions, translating complex urban data into actionable planning insights.

I care about cities because I care about people — and the systems we build shape who gets to thrive in them.

I work where data meets design and policy meets place. I've built predictive models for transit equity, mapped urban waste systems, 3D-printed a wearable air quality sensor, and written a thesis on circular economy in construction — all in Python, all grounded in spatial evidence, all aimed at making cities more just.

Four Ways of Working

Each practice is a lens on the same question: how do we build cities that are just, resilient, and alive?

What I Work With

Data Science & Modeling

What I reach for when a question needs a quantitative answer.

  • Python (pandas, NumPy, scikit-learn)
  • Machine Learning (Random Forest, XGBoost)
  • Econometrics (OLS, statsmodels)
  • Scenario & Optimization Modeling

GIS & Spatial Analysis

How I make geographies legible — and arguments out of them.

  • ArcGIS Pro
  • GeoPandas & PySAL
  • Folium & Plotly (interactive maps)
  • Spatial Statistics (Moran's I, LISA)

Design & Fabrication

Tools for making research feel inevitable on the page.

  • Adobe Suite (Illustrator, InDesign, Photoshop)
  • Rhino 3D & 3D Printing
  • Data Visualization
  • Sensor Prototyping (ESP32)

Research & Communication

The other half of the job — turning analysis into argument.

  • Policy Analysis & Writing
  • Qualitative Interviews
  • HTML / CSS / JavaScript
  • Git & GitHub

Let's Talk

I'm looking for opportunities in urban planning, data science, sustainability consulting, and design. If my work resonates, I'd love to hear from you.

Email Me Download Resume