At Prodigy InfoTech, I prepared and standardized five real-world datasets totaling 500,000+ records, then investigated trends, outliers, and correlations through exploratory data analysis and statistical analysis.
I presented findings on customer patterns, accident hotspots, and sentiment trends through visual reports. I also built a Power BI sales dashboard tracking 10,000+ records and eight KPIs, streamlining manual reporting by 60%.
My projects include a crop recommendation system deployed with Streamlit, a multi-PDF RAG chatbot, and a GenAI travel planner. I’ve worked with Python, SQL, machine learning, and tools including LangChain, LangGraph, Gemini, and Groq.
