I'm a hands-on Data Scientist with 8.5+ years in building and deploying end-to-end AI/ML solutions. My expertise includes: Machine Learning & Deep Learning: Skilled in regression, classification, clustering, time series forecasting, CNNs, RNNs, and LSTMs using Python, Scikit-learn, TensorFlow, and Keras. Natural Language Processing (NLP): Experience with BERT, Spacy, NLTK, and Transformers for tasks like resume parsing, sentiment analysis, and text classification. Generative AI & LLMs: Built solutions using GPT-4, LangChain, RAG, OpenAI, and Hugging Face, including resume analyzers and AI chatbots. MLOps & Deployment: Proficient in FastAPI, Docker, MLflow, DVC, and deployment on AWS & Azure. I also use vector databases (FAISS) for RAG pipelines. Cloud & Tools: Comfortable with AWS, Azure, GitHub, PowerBI, and SQL for data engineering and visualization.