Data Scientist, Financial Consultancy Services, Datagum

Kanchan Shelke is a Data Scientist at Datagum, where she works at the intersection of AI, analytics, and financial data. With a background spanning data science, software engineering, and financial technology, she focuses on applying natural language processing, large language models, and data analytics to solve complex business problems and support better decision-making. Prior to joining Datagum, Kanchan held technology roles at J.P. Morgan and Bank of America. She holds an MSc in Data Science from the University of Nottingham and is passionate about how emerging AI capabilities can reshape the future of financial services.