Data Analytics

AtliQo Bank Credit Card Analytics

Target market identification and A/B testing for a new credit card launch

Domain / Function

Banking Analytics & Business Intelligence

Project Overview

This project analyzes customer transaction and credit data to identify the most profitable and credit-ready customer segment for launching AtliQo Bank’s first credit card in the Indian market.

Exploratory Data Analysis (EDA) was performed on income, age, spending behavior, and credit scores, followed by A/B testing to validate the effectiveness of the proposed targeting strategy.

Key Features

  • Customer segmentation using demographic and financial attributes
  • EDA on income, spending patterns, and credit scores
  • Payment method and platform behavior analysis
  • Target customer identification for credit card launch
  • A/B testing and hypothesis validation
  • Business-ready insights for decision making

Project Details

The 26–48 age group was identified as the highest potential segment, showing stronger income levels, higher transaction volumes, and better credit usage. A/B testing results showed statistically significant improvement in transaction amounts for the test group, validating the targeting strategy.

Technologies Used

Python Pandas NumPy Matplotlib Seaborn SQL Statistics