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logicalregression

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harshinipydipalli / End-to-End-Data-Pipeline-for-Churn-Prediction

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Built ETL pipelines with Python, SQL, and dbt to clean and load churn data, cutting manual reporting by 40%. Standardized datasets using dbt and SQL for automated reporting and analytics. Performed statistical EDA using chi-square and t-tests to identify key churn drivers and developed a logistic regression model predicting churn with 80% accuracy

python eda predictive-analytics ttest chisquare-test logicalregression
  • Updated Oct 7, 2025
  • Python

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