Power BI dashboard analyzing 119k hotel bookings to validate revenue hypotheses. Identified €5M opportunity in family segment, 2.4x cancellation risk for early bookings, and 72% summer revenue concentration.

Airbnb Market & Pricing Intelligence analysis on 74K+ listings using MySQL — uncovering trust-driven pricing power, demand elasticity, and strategic market opportunities.

Hotel bookings dataset (119k records, 2015–2017) from a City Hotel and a Resort Hotel was analyzed to understand how booking patterns and cancellations impact revenue and operations. Using Python for data cleaning, SQL for exploratory analysis and Power BI for visualizations.

Used MySQL to analyze OYO’s pricing structure and customer popularity behavior. Discovered hidden demand winners, discount effectiveness patterns, and location-wise competition insights.

Data analytics project exploring hotel performance using SQL queries, DAX measures, and Power BI dashboards with 800+ customer bookings.

Predict hotel booking cancellations using Logistic Regression and Decision Trees; deliver policy recommendations for refunds, deposits, and segment-based rules

hotel review extraction tool