I'm a data analyst and visualization nerd with a generalist's curiosity, a traveler's wonder, and a bartender’s rapport.
I approach data like a translator, blending analytical rigor with the emotional clarity of storytelling to bridge insight and audience, helping it click with anyone reading. My projects are hands-on, thoughtful, and well-documented—designed not just to solve problems, but to communicate them clearly. I care as much about the why as the how.
Lately, I’ve turned that same lens toward machine learning, working to make predictive models as understandable as they are powerful.
Beyond the pixels, I read widely, nurture a thriving garden, and chase sunshine across continents. You’ll often find me happily lost in mountain switchbacks, shoreline strolls, or neighborhoods old and new.
📊 Tools & Technologies
- Languages: Python, R, SQL, JavaScript
- Visualization: Matplotlib, Seaborn, Plotly, Leaflet, ggplot2, Tableau
- Machine Learning: scikit-learn, XGBoost, SHAP
- 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