- Utilized Python, Scikit-Learn, and PyTorch to develop, train, and deploy machine learning models for NLP applications
- Implemented supervised and unsupervised learning algorithms, including regression, classification, clustering, and NLP tasks
- Conducted exploratory data analysis (EDA) and feature engineering to prepare datasets for training and testing ML models