Proficient in using scikit-learn for machine learning, statistical modeling, and predictive analytics in Python. Experienced in implementing supervised and unsupervised learning algorithms, including regression, classification, clustering, and dimensionality reduction. Skilled in data preprocessing techniques such as scaling, encoding, and feature selection to optimize model performance. Familiar with model evaluation metrics, cross-validation, hyperparameter tuning, and pipeline automation. Comfortable integrating scikit-learn with pandas and NumPy for seamless data manipulation and analysis.