Exploratory data analysis (EDA)

Hotel Booking EDA Project -- Exploratory Data Analysis of hotel booking demand data (city & resort hotels) to uncover booking trends, cancellation behavior, customer preferences, and insights for hotel management.

This analysis provides actionable insights for hotel management, revenue optimization, and strategic planning.

This project was completed during the completion of the Master of Science degree in Data Analytics from Western Governors University

This repo provides in-depth analysis of hotel booking data with insights on cancellations, revenue, and customer behavior. It includes datasets, analysis notebooks, and Power BI dashboards to optimize strategies. Perfect for data-driven decisions to reduce cancellations and boost profitability also great for enhancing hotel management strategies.

Exploratory Data Analysis (EDA) of hotel booking demand to uncover cancellation patterns and guest behavior using Python.

PowerBI

small dashboard for cancelation of booking in hotel with tools excel and power query

This Power BI dashboard analyzes hotel booking data, highlighting KPIs like occupancy rate, cancellation rate, and revenue. It reveals booking trends, customer segmentation, and seasonal patterns. Data was cleaned using Python and visualized in Power BI to support strategic decision-making and improve hotel performance.

Analyzed hotel booking cancellations, implemented dynamic pricing for a 15% reduction, initiated targeted marketing for 12% rise in peak month bookings, and optimized booking sources. Enhanced revenue and strategy through data-driven insights.

Built an end-to-end machine learning project to predict hotel booking cancellations for INN Hotels Group. Performed data preprocessing, EDA, and model development to identify high-risk bookings and support data-driven business decisions that minimize revenue loss.

Hotel booking analysis uncovering demand patterns, cancellations, and revenue KPIs using Python and Tableau.

Predicting hotel booking cancellations via Machine Learning. Includes EDA and classification modeling to minimize revenue loss.

Analysis of Hotel Booking Price

Data analysis in Python of demand for urban hotels and resorts showing their causes and relationships