Description

· 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

Key Skills

Education

Any Gradute