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  • Feb 5, 2014
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Video: The Importance of Data Quality in the Context of Big Data

 

This speaker session is from Predictive Analytics World, September 30-October 1, 2013 in Boston, MA:

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 Raji Ramachandran has a Ph.D in Economics from Florida State University. She has 15 years of financial services industry experience and is currently involved with projects that focus on predictive analytics utilizing Big Data at Citi. In this capacity, Raji works as a bridge between Analysts and Technologists, in order to evaluate and implement techniques and tools to run predictive analytics with Big Data.

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 Bob Granese is a member of Citi’s Data Quality Analytics and Improvement (DQAI) Team. Bob is a six sigma Master Blackbelt with extensive experience in the banking industry. Before joining Citi, he led several teams at Bank of America and Charles River Labs. Bob also co-authored a data quality related paper and filed one US patent.

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 Dr. Jagmeet Singh is currently a Vice President in Chief Data Office of Citibank. Jagmeet received a Ph.D. degree from the Department of Mechanical Engineering at MIT, He received a S.M. degree in Mechanical Engineering from MIT, in 2003 and a B.Tech. degree in Mechanical Engineering from Indian Institute of Technology, Kanpur, India. He has published several articles in leading technical journals. He has filed seven patents in US, and two International Patents. He has served as a Session Chair and a Journal Reviewer for ASME. He holds certifications in the field of Reliability, Data Quality, Data Modeling

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