Kamesh Sista
About Kamesh Sista
Kamesh Sista is a Lead Analyst at FINRA, specializing in enterprise data management and statistical modeling. He has a background in engineering and data science, with previous roles at TD Ameritrade, Freese and Nichols, and The University of Texas at Arlington.
Work at FINRA
Kamesh Sista has been serving as a Lead Analyst at FINRA since 2020. His role is based in the New York City Metropolitan Area and is conducted remotely. In this position, he utilizes his expertise in building enterprise data warehouses and data lakes, focusing on data management and analytics. His contributions are significant in the context of financial regulation and compliance.
Education and Expertise
Kamesh Sista has a strong educational background in engineering and design. He earned a Bachelor of Engineering (B.E.) from Shivaji University from 1999 to 2003. He then pursued a Master of Science (M.S.) in Engineering at The University of Texas at Arlington from 2004 to 2006. Additionally, he studied User Experience and Interaction Design at The Interaction Design Foundation, achieving Professional Education. His expertise includes statistical modeling, Python programming, and master data management.
Background
Kamesh Sista has a diverse professional background. He began his career as an Engineering Intern at Dallas Fort Worth International Airport in 2004. He then worked as Engineer 1 at Freese and Nichols from 2006 to 2007. Following this, he served as a Senior Business Analyst at TD Ameritrade from 2017 to 2020, where he focused on data analysis and business solutions. His experience spans various roles that emphasize data science and analytics.
Achievements
Throughout his career, Kamesh Sista has made contributions to data science, particularly in developing solutions to combat financial crime. His work in building scalable processes and managing master data has been integral to the organizations he has been part of. His analytical skills and experience with databases have positioned him as a valuable asset in the financial sector.