• Developed end-to-end NLP pipeline to classify movie reviews with 85% accuracy, implementing text
preprocessing techniques including tokenization, sequence padding, and stop-word removal
• Engineered and compared multiple deep learning architectures (LSTM and CNN) with custom embedding layers, optimizing for sequence-based feature extraction
• Conducted comparative analysis on model performance, evaluating accuracy and loss convergence
metrics to ensure robust generalization on unseen data