Supply Chain Inventory Optimization
Designed a Monte Carlo order-up-to policy for 90 DC–SKU pairs, modeling 26.6% less on-hand inventory while maintaining 97.9% unit fill.
Projects.
Applied machine learning studies, personal builds, and tools developed through hands-on practice.
Customer Segmentation
Segmented 908 customers across 42,676 transaction records into five actionable personas using Gaussian mixture modeling and PCA.
Campaign Response Classification
Built a soft-voting ensemble to prioritize campaign calls, with the top 20% of ranked customers capturing 73.1% of historical responders.
Personal Website
A static-export Next.js site for projects, data science, and coding notes deployed with Azure Static Web Apps.
LeetCode Solutions Tracker
A client-side GitHub integration that summarizes solved LeetCode problems from a solutions repository.