Ranjan Bhandary πŸ³οΈβ€πŸŒˆ

Ranjan Bhandary πŸ³οΈβ€πŸŒˆ

Associate Master Data @ Thomson Reuters

About Ranjan Bhandary πŸ³οΈβ€πŸŒˆ

Ranjan Bhandary is an Associate in Master Data at Thomson Reuters in Bengaluru, India. He holds a Master's degree in Commerce from St. Joseph's Evening College and specializes in quantitative analysis and translating complex business problems into analytical processes.

Work at Thomson Reuters

Ranjan Bhandary serves as an Associate in the Master Data department at Thomson Reuters. He has been with the company since 2021, contributing to various projects and initiatives in Bengaluru, Karnataka, India. His role involves collaborating with stakeholders to facilitate informed decision-making based on critical business metrics. Ranjan's work emphasizes the importance of data accuracy and integrity in driving business outcomes.

Education and Expertise

Ranjan Bhandary completed his Master’s in Commerce at St. Joseph's Evening College (Autonomous) from 2018 to 2020. His academic focus included Accounting and Business Management, equipping him with a solid foundation in financial principles and management practices. This educational background supports his current role, where he applies quantitative analysis to measure impact and efficiency in business processes.

Background

Ranjan Bhandary has developed a strong analytical skill set that enables him to address complex business challenges effectively. His experience includes translating intricate business problem statements into actionable analytical processes. This capability allows him to provide valuable insights that support strategic decision-making within his organization.

Achievements

In his role at Thomson Reuters, Ranjan Bhandary focuses on measuring the impact and efficiency of business operations through quantitative analysis. His contributions help to drive proactive decisions that align with the company's objectives. Ranjan's ability to work closely with stakeholders enhances collaboration and ensures that data-driven insights are effectively utilized.

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