Data Scientist / Machine Learning Engineer sifatida customer churn prediction loyihasini to‘liq ishlab chiqdim. EDA, data preprocessing, feature engineering, model training va evaluation jarayonlarini amalga oshirdim. Logistic Regression, Decision Tree, Random Forest, XGBoost va CatBoost modellarini taqqosladim. Eng yaxshi natija CatBoost modelida ROC-AUC 0.934 bo‘ldi.