Built a machine learning pipeline to predict customer churn in the telecommunications industry. Performed data cleaning, handled missing and inconsistent values, encoded categorical features, and prepared the dataset for classification models.
Technologies Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn