Hands-on experience on: 1. Programming Languages Strong Python familiarity (hands-on) for data prep, modeling, and building ML components. SQL - Skills: joins, window functions, CTEs, query optimization 2. Machine Learning LinearLogistic Regression Decision Trees, Random Forest, XGBoost, LightGBM SVM, KNN Model evaluation - PrecisionRecall, F1, ROC-AUC, MSE, RMSE Model tuning - Grid search, randomized search, cross-validation 3. Deep Learning Frameworks: TensorFlow, Keras, PyTorch CNNs, RNNs, LS