Vinayak Srivastava MBA Pmp
About Vinayak Srivastava MBA Pmp
Vinayak Srivastava is a Senior Manager in Presales at Uniphore, where he has worked since 2019. With over 17 years of experience in the BPO-ITES sector, he specializes in conversational analytics and AI to improve customer experience and operational efficiency.
Work at Uniphore
Vinayak Srivastava has been serving as a Senior Manager in Presales at Uniphore since 2019. In this role, he manages the bid lifecycle for opportunities in conversational service analytics. His focus areas include voice and speech analytics, virtual assistance, and biometric security. He engages in product demonstrations and pre-sales activities, which encompass proposal making, business analysis, and proof of concept development. His work contributes to enhancing customer experience and operational efficiency through the application of Conversational Analytics and AI.
Previous Experience
Prior to his current role at Uniphore, Vinayak Srivastava accumulated extensive experience in various positions. He worked as a Senior Market Research Associate at Smarte Inc. for one year from 2006 to 2007. Following this, he held the position of Lead Manager for Insurance & Healthcare at Datamatics Global Services Limited for 12 years, from 2007 to 2019. His earlier roles included Associate at Netscribes for nine months in 2003-2004 and Executive in Content Management at Ugam Solutions for six months in 2005-2006.
Education and Expertise
Vinayak Srivastava holds a Post Graduate Diploma in Business Management (PGDBM) from the Narsee Monjee Institute of Management Studies (NMIMS), where he studied from 2012 to 2014. He also earned a Bachelor's degree in Commerce and Economics from the University of Mumbai, completing his studies from 1996 to 2001. His educational background supports his expertise in the BPO-ITES sector, where he has over 17 years of experience, specializing in Conversational Analytics and AI technologies.
Skills in Conversational Analytics
Vinayak Srivastava specializes in leveraging Conversational Analytics and AI to improve customer experience and operational efficiency. He has expertise in analyzing the Voice of Customer (VOC) using advanced technologies such as Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG). His skills enable him to effectively contribute to the development and implementation of solutions that enhance service delivery.