At Innometrics Research Lab, I built Retrieval-Augmented Generation applications with LangChain, LangGraph, ChromaDB, and Groq LLM for real-world business use cases. I also applied prompt engineering and semantic search to improve response accuracy and relevance.
As a Data Analyst Intern at Dyashin Technosoft, I analyzed datasets with Python, SQL, and Power BI, using data cleaning, exploratory analysis, and visualization to generate business insights.
I built a RAG-based customer support assistant that retrieves information from PDFs and routes complex or low-confidence queries to a human agent. I also developed a crop yield prediction system and interactive dashboards for student performance analysis.
