Analyzing hotel booking data to uncover the drivers of cancellations and deliver data-driven strategies for revenue optimization.
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Updated
Mar 19, 2026 - Jupyter Notebook
Analyzing hotel booking data to uncover the drivers of cancellations and deliver data-driven strategies for revenue optimization.
Analyzing hotel booking data to uncover the drivers of cancellations and deliver data-driven strategies for revenue optimization.
hotel review extraction tool
Data analytics project exploring hotel performance using SQL queries, DAX measures, and Power BI dashboards with 800+ customer bookings.
"A comprehensive Power BI Management Dashboard transforming booking data into actionable financial, customer, and operational insights."
Used MySQL to analyze OYO’s pricing structure and customer popularity behavior. Discovered hidden demand winners, discount effectiveness patterns, and location-wise competition insights.
Hotel Booking Analytics & Cancellation Prediction Project using Excel Dashboard and Orange Data Mining.
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.
End-to-end Exploratory Data Analysis (EDA) on hospitality booking & revenue data using Python. Analyzes occupancy trends, revenue leakage, and booking channel performance for a hotel chain across 4 Indian cities - delivering actionable business recommendations backed by data.
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.
Interactive Power BI hospitality analytics dashboard for revenue analysis, occupancy tracking, customer insights, and strategic decision-making.
Airbnb Market & Pricing Intelligence analysis on 74K+ listings using MySQL — uncovering trust-driven pricing power, demand elasticity, and strategic market opportunities.
Predict hotel booking cancellations using Logistic Regression and Decision Trees; deliver policy recommendations for refunds, deposits, and segment-based rules
Hotel revenue intelligence dashboard analyzing ADR, Occupancy, and RevPAR to support pricing and demand planning through KPI analysis and interactive dashboards.
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