Data Engineer, Microsoft
Senior Data Engineer, Hogan Assessment Systems
Chief Scientific Officer, Machine Medicine Technologies
Head of Data science, OutFund
Implement a machine learning approach using various classification techniques in Python to examine the digitalisation process of bank customers.
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Business Objective
Bank XYZ has a growing customer base where the majority of them are liability customers (depositors) vs. borrowers (asset customers). The bank is interested in expanding the borrower’s base rapidly to bring in more business via loan interests.
A campaign that the bank ran in the last quarter showed an average single-digit conversion rate. In the last town hall, the marketing head mentioned that digital transformation is the core strength of the business strategy, how to devise effective campaigns with better target marketing to increase the conversion ratio to double-digit with the same budget as per the last campaign.
As a data scientist, you are asked to develop a machine learning model to identify potential borrowers to support focused marketing.
Data Description
The dataset has 2 CSV files,
Aim
Build a machine learning model to perform focused digital marketing by predicting the potential customers who will convert from liability customers to asset customers.
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