hotel-analytics

Analyzing hotel booking data to uncover the drivers of cancellations and deliver data-driven strategies for revenue optimization.

A comprehensive HTML, CSS, and Vanilla JavaScript hotel management system web template for managing rooms, reservations, guests, check-ins, check-outs, housekeeping, payments, services, occupancy, analytics, and reports.

Analyzing hotel booking data to uncover the drivers of cancellations and deliver data-driven strategies for revenue optimization.

Machine Learning framework using Logistic Regression and Decision Trees to predict hotel booking cancellations, minimize revenue loss, and optimize overbooking strategies.

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.

"A comprehensive Power BI Management Dashboard transforming booking data into actionable financial, customer, and operational insights."

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

Motor de revenue management hotelero: control de inventario EMSR-b, modelo de cancelacion (XGBoost, AUC 0.84) e ingreso esperado ajustado por riesgo. Dashboard en Streamlit.

End-to-end hotel booking analytics system with EDA, SQL insights, cancellation prediction model, and interactive dashboard.

Hotel Booking Analytics & Cancellation Prediction Project using Excel Dashboard and Orange Data Mining.

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 review extraction tool

Machine learning project to predict hotel booking cancellations using Decision Tree classification and identify key cancellation drivers.

Multi-Agent AI-powered Hotel Review Intelligence Platform using Streamlit, Google Gemini, NLP, and Business Analytics.

End-to-end Business Intelligence project analysing hotel reservation performance using SQL, Power BI, DAX and Power Query.

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.

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.

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.