lyuklyan13/retail-banking-analytics
Banking analytics: SQL feature engineering, RFM customer segmentation, A/B testing for marketing campaigns, and predictive modeling for loan default risk
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/data-engineering/lyuklyan13/retail-banking-analytics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
amdrwn/online-retail-sql-analytics
End-to-end e-commerce analytics and churn prediction project using SQL (PostgreSQL) and XGBoost,...
mayankjoshiii/customer-intelligence-dashboard
Customer Intelligence Platform with K-Means clustering, RFM analysis, churn prediction, cohort...
plabonroy910-glitch/customer-behavior-revenue-intelligence
An end-to-end data analytics pipeline using Python to analyze customer behavioral patterns,...