AV-Credit-Card-Lead-Prediction
Public Leaderboard Rank: 240 , Private Leaderboard Rank: 74
Happy Customer Bank is a mid-sized private bank that deals in all kinds of banking products, like Savings accounts, Current accounts, investment products, credit products, among other offerings.
The bank also cross-sells products to its existing customers and to do so they use different kinds of communication like tele-calling, e-mails, recommendations on net banking, mobile banking, etc.
In this case, the Happy Customer Bank wants to cross sell its credit cards to its existing customers. The bank has identified a set of customers that are eligible for taking these credit cards.
Now, the bank is looking for your help in identifying customers that could show higher intent towards a recommended credit card, given:
Customer details (gender, age, region etc.) Details of his/her relationship with the bank (Channel_Code,Vintage, 'Avg_Asset_Value etc.)
Data Dictionary
ID: Unique Identifier for a row
Gender: Gender of the Customer
Age: Age of the Customer (in Years)
Region_Code: Code of the Region for the customers
Occupation: Occupation Type for the customer
Channel_Code: Acquisition Channel Code for the Customer (Encoded)
Vintage: Vintage for the Customer (In Months)
Credit_Product: If the Customer has any active credit product (Home loan, Personal loan, Credit Card etc.)
Avg_Account_Balance: Average Account Balance for the Customer in last 12 Months
Is_Active: If the Customer is Active in last 3 Months
Is_Lead(Target): If the Customer is interested for the Credit Card
0 : Customer is not interested
1 : Customer is interested