Customer Segmentation and Churn Pattern Analytics in European Banking
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https://zenodo.org/doi/10.5281/zenodo.20686700
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Customer Segmentation and Churn Pattern Analytics in European Banking
This project presents an interactive Business Intelligence and Customer Analytics solution developed for the European Banking sector using Python, Pandas, NumPy, Plotly, and Streamlit.
The system performs customer segmentation, churn pattern analysis, risk assessment, high-value customer identification, revenue risk evaluation, and strategic action prioritization through an interactive dashboard.
Key Features:• Customer Segmentation Analysis• Churn Distribution Analysis• Executive Banking Overview• High-Value Customer Intelligence• Customer Drill-Down Analysis• Customer Risk Distribution• Revenue Risk Assessment• Strategic Business Recommendations
Technologies Used:Python, Pandas, NumPy, Plotly, Streamlit, Jupyter Notebook
Author: Kundan Kumar SinghInstitution: Late Bhausaheb Hiray S.S. Trust's Institute of Computer Application
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Zenodo创建时间：
2026-06-14
