This project is part of my Mentorness internship ,where I analyzes a hotel reservation dataset using SQL queries to extract insights and recommendations. The goal is to understand guest preferences, booking trends, and operational factors to optimize hotel performance.

Data Exploration: Utilize SQL queries to explore dataset structure, size, and date ranges. Analysis Queries: Address specific questions to uncover insights on reservations, market segments, and room preferences. Insights Extraction: Interpret findings to understand guest behaviors, booking patterns, and seasonal trends. Recommendations: Provide actionable suggestions to improve marketing strategies, enhance guest experiences, and optimize operations.

Majority of reservations are made through the online market segment, indicating a preference for online booking platforms. Families prefer one-night stays on weekends, highlighting a demand for weekend getaways suitable for families. October emerges as the peak reservation month, while January records the lowest number of reservations, indicating seasonal variations in demand. These insights inform strategic decisions to tailor marketing efforts, improve guest services, and optimize resource allocation for enhanced hotel performance.

Through data analysis, this project provides valuable insights for optimizing hotel operations and enhancing the overall guest experience. By leveraging these insights, the hotel can make informed decisions to drive business growth and success.