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: Classified: At‑Risk, Cyclistic Analytics, Capital Crashpad. Expand ↓ for case studies
Featured projects • Case studies, tech, and impact ↓
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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. -
Cyclistic Analytics — R‑based analysis of 5.8M rides to uncover rider behavior and segmentation for targeted strategy.
Tech: R · tidyverse · R Markdown · ggplot2
Repo / Portfolio Page
Impact: Found casual riders averaged ~20‑minute weekend rides vs members’ ~12‑minute commutes; surfaced e‑bike adoption and geographic segments used to inform targeted marketing. -
Capital Crashpad — SQL‑driven dashboard mapping pricing and occupancy trends in Washington, DC’s short‑term rental market.
Tech: Python · PostgreSQL · Django · Leaflet.js
Repo / Portfolio Page
Impact: Delivered an interactive tool enabling policymakers and hosts to explore regulatory and market dynamics. -
Waypoints — Interactive geospatial memoir mapping journeys across continents; layers routes, photos, and narrative into an exploratory travelogue.
Tech: Python · Leaflet · 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.