Insurance company Intellisurance provides its life insurance product to its 1.4M customers. They offer 4 plans - Bronze, Silver, Gold and Platinum. The base price for all these 4 plans is fixed, but the monthly premium each individual pays for the plan varies based on factors like age, tobacco usage, pre-conditions, city, state etc. The dataset contains the details of 1.4M customers, their demographic information and other details that affect their monthly premiums. The dataset also gives the information regarding which plans were purchased.
Note: The customer can purchase only one plan.
Challenge 🏆: Make the best use of our dataset.
Ideas 🤔: Creating data visualizations, predicting plan purchases, predicting the price of the premiums, building interfaces for customers to compare plans and so forth.