Data engineer & analyst in Logan, Utah. I build data pipelines, dashboards, and applications.
I'm a data engineer and analyst studying Data Analytics and Information Systems (data engineering emphasis) at Utah State University's Jon M. Huntsman School of Business, graduating in 2028. I work at the Analytics Solution Center building automated pipelines and dashboards that organizations use to monitor financial and operational performance.
I like turning messy, real-world data into things people can actually use — whether that's a validated pipeline, a clear dashboard, or a full application. I also speak Mandarin at a professional working level.
Built automated n8n pipelines that extract, clean, and validate thousands of rows of financial and guest data each month, with validation logic for missing and malformed records, feeding dashboards managers use to track performance.
Built and teach the Power BI portion of DATA 5400, introducing foundational visualization standards to 100+ students through lectures and 20+ hours of video tutorials.
Modeled systolic blood pressure for 4,168 patients using OLS and Bayesian MCMC regression; cleaned clinical data in Pandas and built Bayesian models in Bambi, verifying convergence with ArviZ.
Cofounded and launched a React Native / Expo marketplace for restaurants targeting students. Architected a Supabase backend with relational database design and secure storage; grew to 1,500 downloads and 30+ partners.
Built a full-stack AI talent platform (Next.js, React Native/Expo, Supabase) that matches candidates to roles, using the Groq API to extract skills and generate real-time role-fit summaries.
Languages & tools: Python, SQL, Excel, Pandas
Platforms: GitHub, Vercel, Supabase, VS Code
Automation: n8n, Power Automate
Analytics & BI: Tableau, Power BI
Spoken: English (native), Mandarin (professional working proficiency)