The customer and transaction data used can be collected from the following link below
https://www.kaggle.com/shivamb/bank-customer-segmentation/
If the dataset and/or link no longer exists, please contact me at [email protected] and I will send it to you accordingly.
The data consists of transactional, demographic, and geographical information for bank customers in an Indian bank.
In a high level, the project consists of the following steps:
- Exploratory data analyses to uncover customer behavior and demographic trends.
- Features were created to enrich segmentation analysis.
- Data was cleaned and prepared for the KMeans clustering model.
- Hyperparameter tuning to identify optimal number of clusters.
- Post hoc analysis to identify cluster specific marketing as well as customer acquisition recommendations.