Sanjeev Rao
About Sanjeev Rao
Sanjeev Rao is a Data Products and Program Lead at DP World, specializing in big data development and machine learning for analytics and business intelligence. He has over a decade of experience in cloud solutions and data lake designs, with a background that includes roles at IBM, GE, Infosys, and A.P. Moller - Maersk.
Current Role at DP World
Sanjeev Rao currently serves as the Data Products and Program Lead at DP World, a position he has held since 2021. In this role, he focuses on the development and management of data products, leveraging his expertise in big data and machine learning. His work contributes to analytics and business intelligence initiatives within the organization, enhancing data-driven decision-making processes.
Professional Experience
Sanjeev Rao has over a decade of experience in the technology sector. He began his career as a Systems Engineer at Infosys from 2010 to 2011. He then worked as a Software Developer at IBM India Software Labs from 2013 to 2016, followed by a role as a Data Engineer at GE from 2016 to 2018. He further advanced his career as a Senior Data Engineer at A.P. Moller - Maersk from 2018 to 2021 before joining DP World.
Education and Expertise
Sanjeev Rao holds a Master of Technology (MTech) in Computer Science from RV College of Engineering, where he studied from 2011 to 2013. He also earned a Bachelor of Engineering (BE) in Computer Science from RNS Institute of Technology, completing his studies from 2006 to 2010. His educational background supports his specialization in big data development and machine learning, particularly for analytics and business intelligence.
Background in Program and Product Management
Sanjeev Rao has a strong background in program and product management, with a focus on data products. His experience spans various roles in the technology industry, where he has developed skills in cloud solutions, datalake designs, and implementations. This background enables him to effectively lead projects and initiatives related to data management and analytics.