I’m a data analyst and storyteller who blends technical rigor with human-centered insight. With a background in statistics, sociology, and facilitation, I focus on turning complex data into clear, actionable narratives.
💡 What excites me most: using data + storytelling to help organizations make better decisions — through predictive modeling, dashboards, and narrative insights.
- Languages & Libraries: Python (Pandas, Scikit-learn, Matplotlib, Seaborn), SQL
- Data Modeling & Transformation: dbt, Feature Engineering
- Visualization: Tableau, Looker, Jupyter Notebooks
- Other Strengths: Survey research, statistical analysis, facilitation & communication
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Airbnb Austin: Pricing & Occupancy Insights
Predicts nightly Airbnb rates and reveals pricing drivers (location, guest count, seasonality). Includes ML modeling + business insights. -
Public Attitudes Toward AI (Pew Research)
Analyzes how Americans feel about AI across age/education groups. Combines quantitative analysis with AI-generated storytelling personas. -
Marketing Analytics Dashboard: CAC, LTV, ROI & Retention
End-to-end workflow modeling acquisition cost, lifetime value, ROI, and retention. Delivered as an interactive Tableau dashboard.
- Advanced SQL and dbt for analytics engineering
- Machine learning applications for real-world business problems
- Using AI to scale storytelling and insight generation