Chandrashekhar Patil
About Chandrashekhar Patil
Chandrashekhar Patil serves as the Director and Head of Data Quality Assurance and Analytics at UBS in Pune, India. With extensive experience in data governance and quality assurance, he has led numerous projects and initiatives throughout his career in various prominent organizations.
Work at UBS
Chandrashekhar Patil serves as the Director and Head of Data Quality Assurance and Analytics at UBS, a position he has held since 2023. He is based in Pune, Maharashtra, India. In this role, he is responsible for overseeing data quality assurance processes and analytics initiatives, ensuring that data management practices meet the organization's standards.
Current Role at Wipro Technologies
In addition to his role at UBS, Chandrashekhar Patil has been working as a Tech Leader at Wipro Technologies since 2022. His responsibilities include leading technical teams and driving projects that enhance data governance and quality assurance across various applications.
Education and Expertise
Chandrashekhar Patil earned a Bachelor's degree in Computer Science from MSG College, where he studied from 1995 to 1998. He furthered his education by obtaining a Master's degree in Computer Science with a focus on Scientific Computing from the Interdisciplinary School of Scientific Computing at Pune University, completing his studies from 1999 to 2001.
Background at Credit Suisse
Chandrashekhar Patil worked at Credit Suisse as Vice President in the Compliance Chief Data Office from 2011 to 2023. During his tenure, he led the data strategy and implementation for the Compliance division, establishing a Chief Data Office team in India that achieved significant cost savings. He also chaired various data governance councils to support data management initiatives.
Data Governance and Quality Assurance Initiatives
Chandrashekhar Patil has extensive experience in data governance and quality assurance. He has led architectural assessments for over 200 compliance applications and implemented data governance across more than 40 applications. His work includes developing data quality standards and conducting health checks across over 60 applications to ensure data correctness and accuracy.