Customer Churn Prediction Using Machine Learning Overview Developed an end-to-end machine learnin...Customer Churn Prediction Using Machine Learning Overview Developed an end-to-end machine learnin...
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Nandani Jha
• Aug 5
Customer Churn Prediction Using Machine Learning
Overview
Developed an end-to-end machine learning solution to predict customer churn and help businesses identify customers who are likely to leave. The project combined data cleaning, exploratory data analysis, feature engineering, predictive modeling, and interactive reporting to generate actionable business insights.
Problem
Customer retention is more cost-effective than acquiring new customers, but identifying at-risk customers can be challenging. This project aimed to analyze customer behavior and build a predictive model that enables proactive retention strategies.
My Role
Cleaned and preprocessed customer data by handling missing values, duplicates, and inconsistent records.
Performed Exploratory Data Analysis (EDA) to uncover trends, correlations, and churn patterns.
Engineered features and encoded categorical variables for model training.
Built and evaluated multiple machine learning models to predict customer churn.
Compared model performance using standard evaluation metrics.
Created clear visualizations and dashboards to communicate key findings.
Structured the project as an end-to-end machine learning pipeline with reusable code.
Tools & Technologies
Python
Pandas
NumPy
Scikit-learn
XGBoost
Matplotlib
Power BI
Jupyter Notebook
Git & GitHub
Deliverables
Cleaned and transformed customer dataset
Exploratory Data Analysis (EDA) report
Feature engineering pipeline
Trained churn prediction model
Performance evaluation report
Visual dashboards and business insights
Well-documented source code
Business Impact
The solution helps businesses identify customers with a high likelihood of churn, enabling targeted retention campaigns, better customer engagement, and more informed, data-driven decision-making.
Data AnalysisWeb ScrapingData VisualizationFlaskJupyterXGBoost
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