Data Science Project 2

In this data-driven project, we delve into the world of hotel booking data analysis to uncover valuable insights that can transform the hospitality industry. Our comprehensive examination encompasses various aspects of hotel bookings including guest preferences, seasonal trends, pricing strategies, and occupancy rates. The main aim is to provide actionable recommendations for hoteliers and stakeholders to optimize their operations, enhance guest experience, and maximize revenue.

• Analyze customer reviews and ratings
• Assess the impact of holidays and events on bookings
• Analyze pricing variations over time
• Identify trends in high and low occupancy periods
• Examine reasons for booking cancellations
• Analyze repeat bookings and customer loyalty
• Identifying opportunities for upselling and cross-selling.
• Explore opportunities for entering new markets.