Customer Churn Prediction App
ML Engineer2024
Predictive Analytics · Model Deployment · Data Visualization · Scikit-learn
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Churn Prediction Interface
Churn Prediction Interface
An end-to-end machine learning application designed to predict customer churn for telecommunications companies using advanced classification models.
Key Achievements
- Developed a full-stack ML application with a Flask backend and an interactive frontend for real-time predictions.
- Performed exhaustive Exploratory Data Analysis (EDA) on telco datasets to identify key churn drivers.
- Engineered and optimized a Random Forest classification model with Scikit-learn to achieve high prediction accuracy.
- Implemented automated data preprocessing pipelines to handle missing values and feature scaling.
Tech Stack
PythonFlaskScikit-learnPandasMatplotlibSeaborn