Ripal Patel

Ripal Patel

Economic Data Reporter, Data And Automation Desk At Reuters @ Thomson Reuters

About Ripal Patel

Ripal Patel is an Economic Data Reporter at Thomson Reuters, specializing in automation and data management. He has a Bachelor of Engineering in Information Technology and has worked in various roles related to automation and client communication.

Work at Thomson Reuters

Ripal Patel serves as an Economic Data Reporter at Thomson Reuters, specifically within the Data and Automation Desk. He has been in this role since 2021, contributing to the organization from Bangalore Urban, Karnataka, India. In this position, he is responsible for configuring and scheduling automation programs on the EAP platform. Patel collaborates with a globally set cross-functional team to manage these automation initiatives, ensuring efficient operations and data reporting.

Previous Experience at EMSURE LIMITED

Prior to his current role, Ripal Patel worked at EMSURE LIMITED as a Consultant in Automation Operations. His tenure lasted for 11 months in 2020, during which he focused on automation processes. This experience provided him with insights into operational efficiencies and client communication, skills that he has carried into his current position at Thomson Reuters.

Education and Expertise

Ripal Patel earned his Bachelor of Engineering in Information Technology from Sarvajanik College of Engineering & Technology, completing his studies from 2010 to 2014. His educational background laid the foundation for his expertise in data management and automation technologies. Additionally, he studied at K.V.S & M.N.N High School in Navasari, where he also focused on Information Technology.

Technical Responsibilities

In his role at Thomson Reuters, Ripal Patel handles various technical responsibilities, including deployments, upgrades, and migrations on the EAP platform. He engages in client communication to deliver services and solutions tailored to their needs. His work involves configuring automation programs, which enhances operational efficiency and data accuracy within the organization.

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