Data Analytics Fellow (Analyst, IT) — Duke University
Building production data workflows, dimensional warehouse models, and dashboards for Duke and Duke Health research.
Building production data workflows, dimensional warehouse models, and dashboards for Duke and Duke Health research.
Building the backend for an AWS-to-Azure database migration, and the authentication flows on top of it.
Built and shipped “Log in with BTG ID”, a production distributed SSO service giving 6,000+ employees and 8,000+ small-business clients one authentication path across BTG Pay products. Cut authentication latency 47% toward a 1-second target by caching session state in Redis, and personalized content on EXAME, BTG's news platform, by connecting GraphQL banking-profile data to the OAuth 2.0 flow. Owned rollout and reliability — authored the RFC, shipped behind feature flags, and restored service within SLA leading incident triage with live telemetry and a fallback path.
Cut 3D-printing turnaround from 3+ to 1–2 business days by managing end-to-end delivery for 24 stakeholders. Held client satisfaction at 95% while producing 47 custom models for Duke Health research and standardizing production specifications.
Cut healthy-food search time 85% — from 5 minutes to 45 seconds, at 80% task success — by building MealPilot with Microsoft Copilot Studio and the Azure Maps API. Selected as 1 of 18 students nationwide for the Microsoft NYC Summer Mentorship Program and AI Hackathon.
Saved Duke Facilities 2 hours a day on data requests by deploying a dashboard backed by a REST API, Docker, Linux and Postgres. Reached 95% precision on three-class occupancy classification and a cross-validated R² of 0.72 on regression, training scikit-learn models on 2M+ anonymized Wi-Fi and CO₂ records, then built WCAG-aligned visualizations with Facilities across 4 Agile sprints to support HVAC planning.