Description

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 · Linear/Logistic Regression · Decision Trees, Random Forest, XGBoost, LightGBM · SVM, KNN · Model evaluation - Precision/Recall, F1, ROC-AUC, MSE, RMSE · Model tuning - Grid search, randomized search, cross-validation 3. Deep Learning · Frameworks: TensorFlow, Keras, PyTorch · CNNs, RNNs, LSTMs, Transformers · Use cases: NLP, computer vision, time-series forecasting 4. Data Wrangling & Preprocessing · Missing data handling · Feature engineering · Data cleaning

Key Skills

Education

Any Gradute