I am an Associate Data Scientist @ Gramener Technology specializing in AI/ML, NLP, and advanced analytics, with hands-on expertise in building intelligent AI agents, Retrieval-Augmented Generation (RAG) frameworks, and predictive models for real-world impact. I excel at crafting scalable solutions using Python, SQL, and cloud platforms (AWS, Azure), and I have a strong background in developing ML pipelines, geospatial analytics, and vector search systems. My work ranges from automating financial document analysis and timesheet generation to forecasting traffic flows for smart cities. Recognized as a published researcher with IEEE, I am passionate about harnessing the power of AI and data science to drive innovation, solve complex business challenges, and shape intelligent automation for the future.