Data Science Leader with over 10 years of experience in GenAI, ML, and NLP, known for boosting efficiency by 90% and significantly reducing errors. Currently working as a Staff Gen AI Data Scientist at RealPage, Inc., where I architected LangGraph multi-agents for call intelligence, enabling automated entity extraction and sentiment analysis, which increased overall data processing efficiency by 40%. I guide a team of Data Scientists in optimizing GenAI tasks by experimenting with various GPT models and leveraging multi-modal models for advanced OCR, resulting in a 90% efficiency improvement. I have led the development of applications utilizing GPT-3.5 Turbo on AWS Sagemaker for enhanced transcript analysis, and spearheaded projects integrating custom RAG and GPT-3.5 for video data extraction. My expertise includes implementing advanced LLM techniques, such as LLM-Lingua and Selective Context prompt compression, to process longer content while maintaining performance. Previously, I managed a team at Walmart Labs, where I implemented multi-modal text classification models using BERT and developed custom NER models to extract provider details from claims data. My tenure at Tata Consultancy Services involved creating applications to streamline bio-statistical analysis and standardize unstructured data, resulting in significant time savings. Proficient in machine learning, deep learning, statistical modeling, and big data technologies, with a strong programming background in Python, R, and various other tools. I am passionate about driving innovation and efficiency through GenAI and advanced data science techniques.