Predicting Hotel Reservation Cancellations

Mitigating Revenue Loss in Hospitality

Online booking platforms have made hotel cancellations incredibly common, leading to revenue loss for owners. By predicting which reservations are likely to be canceled, hotels can optimize overbooking strategies and pricing.

Classification Ensembles

I built an ensemble model utilizing a tuned Random Forest Classifier alongside a Histogram Gradient Boosting Classifier. This combination successfully identified complex patterns in booking lead times, customer history, and demographic data.

Business Value

Achieving the 2nd rank on AI Planet, this data science project directly translates to improved bottom-line revenue for the hospitality sector through intelligent inventory management.