Hotel Booking Data Analysis

A data analysis project focused on exploring hotel booking data to identify patterns, trends, and factors that influence booking behavior and cancellations.

I worked on data cleaning and preprocessing, exploratory data analysis (EDA), and data visualization to understand the dataset and extract meaningful insights.

The project demonstrates practical experience in working with real-world datasets and using data analysis techniques to support data-driven insights and decision-making.

**Technologies:** Python, Pandas, NumPy, Matplotlib, Seaborn, Data Analysis, Exploratory Data Analy