Satish has a distinguished background in data management, data science and risk management. He started his career implementing enterprise risk solutions such as mortgage loss forecasting, model risk management, stress testing for CCAR, regulatory compliance and healthcare risk adjustments using SAS. Satish leveraged open source tools and dotData technology to implement automated data science (automated Feature Engineering, AutoML) use cases for businesses across different industries. Currently Satish works as a Solutions Architect at Databricks helping enterprises with cloud and Lakehouse adoption using open source technologies such as Apache Spark, Delta and MLFlow. Satish has presented and published at various conferences on machine learning and SAS programming and co-authored a book on text analytics: Text Mining and Analysis: Practical Methods, Examples, and Case Studies using SAS.