Prasanna Revankar

Prasanna Revankar

Analytics Engineer @ Scientific Games

About Prasanna Revankar

Prasanna Revankar is an Analytics Engineer with a strong background in database security, data mining, and game analytics. He holds an M.B.A. from Iowa State University and has worked in various roles, including Systems Engineer at Tata Consultancy Services and Teaching Assistant at Iowa State University.

Work at Scientific Games

Prasanna Revankar has been employed at Scientific Games as an Analytics Engineer since 2015. In this role, he focuses on game analytics, providing data-driven insights that contribute to the gaming industry. His work involves utilizing both descriptive and predictive modeling to enhance decision-making processes. Over the years, he has engaged in cost/benefit analysis to optimize resource allocation and improve project outcomes.

Education and Expertise

Prasanna Revankar holds a Master of Business Administration (M.B.A.) from Iowa State University, where he studied from 2013 to 2015. Prior to this, he earned a Bachelor's Degree in Electrical, Electronics and Communications Engineering from Visvesvaraya Technological University, completing his studies from 2006 to 2010. His educational background supports his expertise in database security, data mining, and game analytics.

Background

Before joining Scientific Games, Prasanna Revankar worked in various roles that contributed to his professional development. He served as a Systems Engineer - Project Coordinator at Tata Consultancy Services from 2010 to 2013 in Chennai, India. He also gained experience as a Teaching Assistant at Iowa State University from 2013 to 2015 and worked as a Systems Administrator for the Iowa Department of Transportation in 2014.

Achievements

Prasanna Revankar has developed a strong background in technical report writing, which facilitates the clear communication of complex data insights. His experience in database security and data mining ensures data integrity and protection, contributing to his effectiveness in analytics roles. His skills in modeling and analysis have enhanced decision-making processes in his current and previous positions.

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