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Rakesh Agrawal
San Francisco, California,United States
Find Rakesh Agrawal's Email
Find Rakesh Agrawal's PhoneWho Is Rakesh Agrawal?
Rakesh Agrawal is a highly acclaimed computer scientist and an IBM Fellow, renowned for his pioneering contributions to data mining, database systems, and data privacy. He is widely recognized for his foundational work on association rule mining, particularly the Apriori algorithm, which revolutionized market basket analysis and the discovery of frequent itemsets. Dr. Agrawal has also made significant strides in privacy-preserving data mining, notably with the concept of Hippocratic databases. Before rejoining IBM, he was a Technical Fellow at Microsoft. His work has had a profound impact on both academic research and industrial applications, making him one of the most influential figures in the field of data science. He is a member of the National Academy of Engineering and a Fellow of ACM and IEEE.
How Did Rakesh Agrawal's Career Path Shape Their Journey?
Rakesh Agrawal's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Rakesh Agrawal's Key Achievements?
ACM SIGKDD Innovation Award
Awarded in 2000 for his seminal contributions to the foundations of data mining, particularly in association rules and privacy-preserving data mining.
Pioneering Association Rule Mining (Apriori Algorithm)
Co-developed the Apriori algorithm, a cornerstone for market basket analysis and discovering frequent itemsets in large datasets, significantly impacting retail and e-commerce.
IBM Fellow
The highest technical honor bestowed by IBM, recognizing sustained and distinguished technical achievements and leadership in the field of data management and mining.
Member of the National Academy of Engineering (NAE)
Elected in 2003 for contributions to data mining, including the development of algorithms for association rules and privacy.
VLDB 10-Year Best Paper Award
Received multiple times for papers demonstrating lasting impact in the database research community, including for his work on association rules.
Development of Hippocratic Databases
Introduced the concept of Hippocratic databases, which emphasize privacy and limited disclosure as fundamental principles in database design.
What's Rakesh Agrawal's Educational Background?
Certificates, Computer Software Engineering
UC Berkeley Extension - Year 1995
MBA, Finance and Operations Research Decision Science
University of Kentucky - Year 1993
Graduate, Management Information Systems
National Institute of Information Technology - Year 1991
Bachelor of Engineering (B.E.), Material Science
National Institute of Technology Rourkela - Year 1987
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Company Overview
Trellis Energy SoftwareTrellis Energy Software provides a modern, cloud-native SaaS platform designed for natural gas utilities and Local Distribution Companies (LDCs). Their solutions aim to digitize and optimize commercial operations, including nominations, scheduling, balancing, allocations, and customer management. By replacing outdated legacy systems, Trellis helps energy companies improve efficiency, gain better data insights, reduce operational risks, and enhance customer satisfaction in the evolving energy market.
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