An end-to-end Revenue Protection Framework for industrial partnerships. Utilizing T-SQL for purchase-cycle engineering and K-Means clustering to detect "Silent Churn" anomalies. This model quantifies $55M in financial exposure and generates a prioritized intervention "Hit List" to save high-value accounts before they switch to competitors.

Analyzed multi-city Airbnb data to solve a key real estate investment problem: identifying which property types, pricing strategies, locations, and amenities generate the most consistent bookings and predictable returns for investors.