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President and Chief Customer Success Officer

Krishna Rupanagunta

Krishna Rupanagunta comes with over 25 years of experience helping companies drive sustained business growth using Data and Analytics. Over the years, he has built and led teams that have had an exceptional track record across many roles in Services – Client Advisory, Product Management and Delivery in Decision Sciences and Advanced Analytics. He is an acknowledged thought leader in the design and application of Big Data and AI technologies in Customer Care Operations and Supply Chain Management across Retail, CPG and High-Tech Industries.

As the President and Chief Customer Success Officer at Incedo, Krishna is responsible for the design and execution of programs that help Incedo’s customers realize transformative business value from Digital Transformation and Data Science investments. He is passionate about helping companies bridge the execution gap that is often created by the inability to bring together the Data Science and Engineering capabilities to complement the problem-solving process.


Prior to Incedo, Krishna was the Head of Advanced Analytics and Data Science at Cisco, where he was instrumental in building a global team that brought Data Science capabilities across Sales, Supply Chain and Customer Service Operations. Prior to that, he was a member of the global leadership team at Mu Sigma, one of the world’s largest pure-play Big Data and Analytics firms. He developed a deep appreciation for the power of Big Data and Analytics during a stint in the non-profit sector in India focused on bringing Technology to drive Social Change. He started out in Supply Chain and Operations Consulting with E&Y/Capgemini serving multiple industries.

He holds an MBA from Indian Institute of Management, Calcutta and a degree in Computer Science from the Indian Institute of Technology, Delhi.

He blogs at http://www.thinklikesocrates.com – most often his musings and lessons learnt from solving some of the hardest problems for Fortune 500 companies using Data and Analytics.