Summary
Murlidhar Sharma is a Change Management Lead and data-driven analytics professional with nine years of experience translating complex risk and reporting requirements into automated, auditable solutions at UBS. He combines hands-on engineering—building GitLab-tracked automation, Python data pipelines and PowerBI dashboards—with change leadership to streamline onboarding and reduce reporting time by up to 50%. Notable projects include a Generative AI chatbot trained on 40+ credit risk documents, a software component registry for automation processes, and a collateral allocation model that informed a $60M expected risk reduction. Comfortable at the intersection of risk, analytics and technology, he has a strong academic foundation from Carnegie Mellon and a track record of turning statistical insight into business impact. Outside work he balances analytical rigor with creative escapes—football, chess and film—bringing a pragmatic, curious mindset to problem solving.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at Vivekanand Education Society's Institute Of Technology
High School, High School at PES English Medium High School and Jr College
Master of Science - MS Information Systems Management, Master of Science - MS Information Systems Management at Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Spanish, English, Hindi, Marathi