rishma jeedipalli

I've built data analytics, machine learning, and RAG-based AI applications—from analyzing 10,000+ records to developing incident detection and healthcare prediction models.

During my Agentic AI internship at Innomatics Research Labs, I built Generative AI applications with LangChain, FAISS, and ChromaDB to automate information retrieval. I evaluated AI workflows through structured, metrics-driven testing and worked with cross-functional teams to turn technical capabilities into business-facing tools.

At Upto Skills, I led a team of 15 interns through a complete analytics project lifecycle, coordinating requirements, timelines, and deliverables. I cleaned and analyzed 10,000+ records using SQL, Python, Pandas, NumPy, and Excel, translating findings into actionable reports.

My projects include a drug side-effect prediction framework that improved Macro-AUC by 13%, an AI log-monitoring system with Isolation Forest anomaly detection, and interactive Tableau dashboards for sales and job-market intelligence.