Building a Hotel Revenue Management (Rate Recommender) System from Scratch

By Elliot Wilens, Data Scientist and Hotel Revenue Manager

Metis Data Science Bootcamp | Project 5: Passion Project

Project Duration: 3 weeks

Blog post here

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Introduction

I was a Hotel Revenue Manager with Marriott International for five years, and was always curious about the inner-workings of the revenue management systems employed there. The COVID-19 pandemic provided me the opportunity to delve into programming and Data Science. Fast forward one year, and I'm now approaching the end of the 12-week Metis Data Science Bootcamp, and our fifth (and final) project is the 'Passion Project'. I wanted to combine my newly acquired knowledge with the old into the creation of a revenue management system.

For an in-depth description of the project, take a look at my blog post.

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Tech Stack

• Python3
• Google Cloud Platform (GCP) Compute Engine (high-CPU)
• pandas & NumPy
• Scikit-Learn

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Reproducing Locally

• For steps on reproducing locally, fork & clone this repo, then take a look at code/_reproduce.ipynb.