A predictive analysis of banking customer demographics to identify churn risks and optimize retention strategies.
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Apr 16, 2026
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retention-strategy
Here are 10 public repositories matching this topic...
Crisis recovery analytics for QuickBite Express using RFM segmentation, sentiment modelling, SLA diagnostics, and incentive ROI simulation. Includes customer churn profiling, restaurant-level impact analysis, and CAC benchmarking vs competitors. Outputs include dashboards and strategic recommendations.
python sentiment-analysis data-analysis logistic-regression decision-trees predictive-modeling nlp-machine-learning business-analytics customer-segmentation rfm-analysis crisis-management churn-modelling retention-strategy roi-simulation
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Nov 7, 2025 - Jupyter Notebook
AI-driven churn prediction and retention ROI engine that transforms customer risk insights into revenue recovery strategies and executive-ready reports.
machine-learning xgboost predictive-analytics roi-analysis customer-churn buisness-intelligence streamlit-dashboard revenue-analytics retention-strategy
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Mar 4, 2026 - Python
🤖 A machine learning project to predict customer churn in the telecom industry using Logistic Regression and Random Forest. Includes exploratory data analysis, class imbalance handling, and customer risk segmentation.
python data-science machine-learning random-forest scikit-learn exploratory-data-analysis classification logistic-regression predictive-modeling customer-churn retention-strategy
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Apr 7, 2026 - Python
Comprehensive customer churn analysis and retention strategy project using Python, machine learning, and data visualization to predict churn and provide actionable insights.
python data-science machine-learning scikit-learn jupyter-notebook pandas data-visualization seaborn telecom data-analysis matplotlib predictive-modeling customer-churn retention-strategy
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Apr 19, 2026 - Python
Machine learning-based customer churn prediction system to identify high-risk telecom customers and enable data-driven retention strategies.
python data-science machine-learning classification logistic-regression predictive-modeling business-analytics customer-churn telecom-churn-analysis retention-strategy telecom-analytics
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Feb 14, 2026 - Jupyter Notebook
Predicts customer churn using ML models (Decision Tree, Random Forest, Logistic Regression, SVM, KNN, XGBoost) in R, with powerful data visualizations to uncover retention patterns and drive actionable insights in customer lifecycle analysis.
data-science machine-learning r random-forest rstudio data-visualization business-intelligence xgboost logistic-regression support-vector-machine feature-engineering predictive-analytics knn decision-tree r-programming model-evaluation classification-models customer-churn-prediction customer-churn retention-strategy
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May 24, 2025 - R
Business Intelligence dashboard for telecom churn analysis with KPIs, segmentation, churn-risk scoring, revenue-at-risk metrics, and retention recommendations. Includes predictive risk buckets, executive insights, derived features, and interactive Tableau views for decision support.
business-intelligence tableau decision-support executive-dashboard customer-churn end-to-end-analytics retention-strategy telecom-analytics revenue-at-risk cltv-analysis
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Feb 7, 2026 - Jupyter Notebook
An interactive dashboard that identifies high-risk employee cohorts driving 28% of attrition using SQL ETL pipelines and Tableau. Enables proactive HR interventions by revealing key attrition drivers across demographics, tenure and role types, turning raw HR data into actionable retention strategies.
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Feb 5, 2026
Designed a data-driven intervention framework for high-value customers by integrating growth deceleration detection, churn prediction, and targeted Revenue at Risk quantification.
bigquery data-analytics ab-testing risk-modeling revenue-optimization growth-analysis retention-strategy
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Feb 20, 2026
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