I help people understand the world so they can take better care of it.
With a global perspective and systems mindset, I translate complex data into clear, actionable analyses and visual stories that support real decisions—especially in mission-driven, interdisciplinary, or resource-constrained environments.
Open to contract & full‑time opportunities — Email
Core tools: Python · SQL · R
Top work: Floodlines · flood risk & federal mitigation policy, Classified: At‑Risk · employee attrition, Capital Crashpad · housing market enforcement. Expand ↓ for case studies
Featured projects • Case studies, tech, and impact ↓
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Floodlines — Policy-focused spatial analysis integrating FEMA flood risk, Census demographics, and federal mitigation funding to evaluate whether investment aligns with forward-looking community need across Vermont.
Tech: Python · GeoPandas · Leaflet.js · D3.js · FEMA OpenFEMA · U.S. Census ACS
Repo / Portfolio Page
Impact: Developed a transparent need index and lightweight screening tool that identified communities the current mitigation pipeline is unlikely to reach. -
Classified: At‑Risk — Recall‑focused ML pipeline predicting employee turnover; prioritized recall to surface at‑risk staff and minimize missed flags.
Tech: Python · scikit‑learn · XGBoost · SHAP · pandas
Repo / Portfolio Page
Impact: Model achieved 96.7% accuracy (94% recall, 87% precision); identified high‑risk groups by tenure, workload, and satisfaction—actionable for HR. -
Capital Crashpad — Structural analysis dashboard examining enforcement-driven shifts in Washington, DC’s short-term rental market.
Tech: Python · PostgreSQL · Django · Leaflet.js · pandas
Repo / Portfolio Page
Impact: Surfaced a sharp decline in extended-stay (31+ night) listings and revenue compression across segments, illustrating how regulatory enforcement altered overall market composition. -
Waypoints — Interactive geospatial memoir mapping journeys across continents; layers routes, photos, and narrative into an exploratory travelogue.
Tech: Python · Leaflet.js · Overpass · OpenRouteService · GeoJSON
Repo / Portfolio Page
Impact: Showcases end‑to‑end geospatial pipelines, API integration, and mobile‑first map UX, demonstrating technical depth and personal data storytelling.
Tech & tools • Skills I use (languages, ML, databases) ↓
- Languages: Python, R, SQL, JavaScript
- Visualization: Matplotlib, Seaborn, Plotly, Leaflet, ggplot2, Tableau
- Machine Learning: scikit-learn, XGBoost, SHAP, TensorFlow/Keras
- Data Wrangling & EDA: pandas, NumPy, Tidyverse
- Databases: PostgreSQL, SQLite, MongoDB
- Web Dev & Scraping: Flask, Django, REST APIs, Beautiful Soup
- Dev Tools: Git, Jupyter, RStudio, VS Code
- Supporting Tools: Excel, Google Sheets, PowerPoint
About • Who I am, how I work, and what I care about ↓
I’m a data analyst and visualization practitioner blending analytical rigor with storytelling empathy.
My path to data ran through global development, environmental policy, and hospitality. Those experiences taught me to see systems and read people. I approach data like a translator, connecting signal and story so insight lands clearly—whatever the audience.
My projects are thoughtful, reproducible, and well-documented, designed to communicate as clearly as they compute. I work in Python, SQL, and R, applying machine learning approaches and powerful visualization tools as needed.
Beyond the pixels, I grow things, chase sunlight across continents, and get happily lost in novels, neighborhoods, and mountain switchbacks. Always learning: one book, one walk, one small project at a time.
🔗 Portfolio | 📄 Resume | 📫 Email | 🔗 LinkedIn
Using data not just to understand the world, but to improve it.