I am a passionate data scientist with internship experience at Petpooja and a strong background in mathematics, holding a master's degree in Data Science and Analytics. I have hands-on experience in machine learning, deep learning, and generative AI, focusing on predictive modeling and data visualization. I've utilized deep learning models like BERT for sentiment analysis and LLaMA for Retrieval-Augmented Generation (RAG). During my internship, I developed skills in deep learning through projects like invoice analysis with YOLO and sentiment analysis with Bidirectional LSTM, as well as building a Telegram chatbot with RAG architecture. I'm proficient in Python, TensorFlow, PyTorch, SQL, and ChromaDB. I am committed to applying AI to solve complex problems in NLP, computer vision, and industrial data analytics, driving operational efficiency and cost savings.