Results-oriented business analyst with a strong foundation in data engineering, machine learning, and artificial intelligence (AI). Expertise in designing cloud-native ETL frameworks, optimizing data workflows, and developing AI-driven solutions. Committed to delivering innovative, scalable systems that drive efficiency and support business objectives.
Built and optimized ML models for detection and prediction of global forest fires using sensor apparatus developed by Dryad Networks GmbH; leveraged time-series analysis and predictive modeling to enhance early warning and risk mitigation.
Intelligent Q&A Chatbot with RAG and LLMs
AI-Powered Complaint Forum (Hackathon – IIT Guwahati, 2nd Place)
Hippocampus Activity Monitoring (Indo-Korean Research Project)