Optimizing Revenue Leakage and Profitability in the Hospitality Sector
Analyzed booking data to link seasonal occupancy with key performance indicators and simulated ROI models.
Aspiring professional with a background in mathematics and data analytics. Experienced in AI agent development, fiscal research, and business strategy.
Built an autonomous AI agent for empirical research workflows. Architected a multi-agent harness to support econometrics and AI research.
Designed and delivered a personalized Advanced Excel and PowerPoint training program for cross-functional executives. Managed curriculum, materials, and doubt sessions.
Analyzed 10-year revenue trends across 18 states to identify high performers and key optimization strategies. Managed a master database of 19 fiscal indicators.
Analyzed booking data to link seasonal occupancy with key performance indicators and simulated ROI models.
Built a network model of 262 stations to estimate ridership pressure and identify congestion bottlenecks.
Recognized as a top 25% performer in the Summer Analyst program.
Awarded the Kautilya Award in 2025.