This project presents an end-to-end analytical framework designed to help a leading hotel chain, AtliQ Hotels, identify the root causes of revenue leakage
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Updated
Jul 22, 2025
This project presents an end-to-end analytical framework designed to help a leading hotel chain, AtliQ Hotels, identify the root causes of revenue leakage
Airline Revenue Optimization This project maximizes airline revenue through optimization techniques, analyzing factors like pricing, demand forecasting, seat inventory control, and overbooking. Using machine learning and data analysis, it provides insights and strategies for better revenue management.
Python-based analysis of 46,000+ e-commerce orders to optimize pricing. Identified the 20-25% discount "sweet spot" for maximizing revenue while protecting profit margins.
Analyze sales trends and customer behavior for Maven Roasters using Python, Matplotlib, and Streamlit. Key insights optimize operations, boost revenue, and enhance customer satisfaction.
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