Rohan Varma Bandari

I started my career fascinated by how data tells stories across industries from understanding customer behavior in retail to protecting financial systems from fraud and compliance risks. That curiosity naturally pushed me toward machine learning and AI as tools to solve complex, real-world problems at scale.Over the last 4 years, I’ve built and deployed data science, machine learning, and Generative AI solutions across Finance, Healthcare, and Retail, with a consistent focus on turning data into practical outcomes. At Aditya Birla Retail, I worked on recommendation systems and demand forecasting models that improved inventory planning accuracy by 35%. At Omega Healthcare, I designed fraud detection pipelines for insurance claims, reducing fraudulent activity by 60% while providing explainable insights to analysts.Currently at Wells Fargo, I work on Generative AI systems in highly regulated environments. I’ve built GenAI-powered compliance and banking intelligence platforms using LLMs, Retrieval-Augmented Generation (RAG), and multi-agent workflows to automate financial document review, fraud risk identification, and regulatory compliance validation. These systems significantly reduced manual review effort while supporting auditability, explainability, and governance requirements.What excites me most is bridging the gap between advanced AI capabilities and real enterprise needs designing systems that are not only technically strong, but also reliable, explainable, and usable by the teams that depend on them.