Ms. Das has over nineteen years of experience in building analytics solutions in financial services, risk, financial crime, and the related data and technology. She has a history of successfully applying data analytics to meet regulatory compliance and monitoring requirements, for anti-money laundering, antiterrorist financing, and bank secrecy act obligations. She also has significant experience in developing and executing strategies related to model development frameworks and in building high performing modeling and analytical teams. Across a number of roles, Ms. Das has experience assisting organizations to use technology to meet compliance objectives related to AML/ BSA, OFAC and other sanctions requirements, Foreign Corrupt Practices Act (FCPA), SEC and FINRA, consumer finance, FATCA, and other regulations. This wide range of experience allows Ms. Das to advise and provide sound feedback across platforms and technologies used to operationalize Machine Learning and AI models. She is a Certified Anti-Money Laundering Specialist (CAMS) and a graduate of the University of Toronto and London respectively.