UW–Madison graduate interested in turning data and business problems into clear insights and practical solutions.
My work connects business analysis, data, and product development, from understanding how people and operations actually work to building tools that support better decisions.
- Translating business needs into requirements and workflows
- Turning user research and data into product decisions
- Organizing and reconciling data for reliable reporting
- Building tools that make operational information easier to use
Python · pandas · SQL · PostgreSQL · Flask · HTML/CSS · JavaScript · Chart.js · Figma
Drizzl: Inventory & Exception Management
An inventory and document-reconciliation system built around a beverage company’s operational workflow.
- Connects purchase orders, goods received notices, stock movements, and discrepancies
- Makes inventory history, shortfalls, and associated financial losses traceable
- Covers discovery, requirements, data modeling, workflow design, implementation, and validation
The public repository includes a case study and synthetic demonstration data.
Tether: Campus Event Discovery App
A product concept for how UW–Madison students find campus events, built on student research and public event data.
- Surveyed 95 students and interviewed 10; 68% had missed an event because they didn’t know it was happening
- Analyzed 146 student-life listings from the UW Events API with Python and PostgreSQL, finding 86% had no cost and 49% no event link
- Turned the findings into traceable requirements, a roadmap, and a 17-screen Figma prototype