Hi, I’m
Product, data, and
practical problem-solving.
UNC-Chapel Hill, Class of 2027
Business Administration & Data Science
I’m a senior at UNC-Chapel Hill studying business administration and data science. I’m interested in the work that makes a product useful: understanding someone’s workflow, figuring out what needs to change, and working through the technical and business details.
At Fusia Health, I translated hospital feedback into requirements and a pilot plan for AI-assisted care transitions. At Cisco, I used Python and SQL to improve reporting and inform commerce decisions. Most recently, at Bank of America, I worked on the evidence and controls behind responsible AI use.
I’m exploring full-time opportunities starting in 2027. If my background could be useful to your team, I’d love to connect.
Say helloJUN–AUG 2026
AI Governance Intern
Automated SQL workflows to surface new and modified AI/ML models for governance reviews, reducing reporting script runtime by 86%. Assessed four models against enterprise policy and documented control gaps for stakeholders and model-owner remediation.
SQL / Technical documentation / AI governance
AUG 2025–
JUN 2026
Strategy & Operations Lead
Translated case-manager feedback from a 135-bed hospital into product requirements and a synthetic-data pilot plan for AI-assisted facility matching, referral packets, and communication. Segmented 300+ pharmacy prospects, generating eight qualified pilot opportunities. Built pricing and unit economics across three customer segments to assess the business case.
Product requirements / Pilot planning / Unit economics
MAY–AUG 2025
Data Analyst Intern · Commerce Operations
Automated reporting across Jira, SharePoint, and Excel with Python, saving 40 hours of manual analysis each month. Used SQL and Tableau to evaluate 1,260+ commerce assets and recommend three content improvements adopted by leadership. Built an AI infrastructure ROI model across six partner teams to estimate potential time and labor savings.
Workflow automation / SQL & Python / ROI analysis
1st place · Milwaukee Bucks Data Analytics Hackathon
Our team analyzed where fans disengage using segmentation, Markov chains, and churn analysis. We turned the findings into a retention strategy, with recommendations designed to fit existing Bucks platforms, and presented it to Bucks and Modine executives.
Details on LinkedIn1st place · UNC & StatQuest R.E.E.L. competition
Yae Young Kim and I made a five-minute video explaining how bias influences machine learning models and real-world decisions. The challenge was to make a technical topic understandable without losing the substance. The competition was supported by Lightning AI, NVIDIA, and Posit.
About the videoFinalist · L.E.K. Consulting Case Competition
Evaluated adjacent growth opportunities for DiveCo and turned the analysis into a market entry recommendation for L.E.K. consultants. Our team placed among the top 15 of approximately 125 registered teams.
Competition detailsSemifinalist · P&G × UNC Marketing Club Case Competition
Analyzed consumers, competitors, and category trends to develop growth recommendations for Tide, Gain, and Downy. Presented the strategy to P&G representatives.
Competition details