Optimizing Occupancy Rates & Pricing Strategy Through Market-Level Exploratory Analysis: Operational insights on demand patterns and pricing sensitivity to inform revenue management decisions in the hospitality sector

Restaurant experience intelligence — anonymous occupancy, environment, and revenue analytics from existing CCTV. Next.js + Supabase.

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.

AI-powered Smart Building Crowd Intelligence System for real-time crowd monitoring, occupancy analytics, congestion detection, emergency planning, and safety management using React, FastAPI, and Python.