Real Estate Churn Prediction System

A predictive pipeline that evaluates the probability of a real estate tenant churn, and provides analysis of how different factors influence that probability.

Challenge:

Our client manages a lot of commercial real estate facilities in the US. Their aim was to reduce tenant churn. They could do so by making educated guesses about whether the tenants will churn and offering them appropriate discounts or other promotions and by understanding better how different factors influence tenant decisions.

Features:

• Integration with 3rd party cloud file manager
• Emails receivers and parsers
• Journaling service
• Scheduling service
• DB services for predictability algorithms

So the project consisted of the following stages:

• Business evaluation
• Exploratory data analysis
• Selection and engineering of the features
• Model training and validation
• Machine Learning