Prerna Arya

Associate Director @ Goibibo

About Prerna Arya

Prerna Arya is an Associate Director at Goibibo, where she has worked for 13 years. She has a strong background in supply chain platform requirements and leads a team of over 30 engineers in Bangalore, India.

Work at Goibibo

Prerna Arya has been serving as Associate Director at Goibibo since 2011. In this role, she oversees the Hotel supply platform and manages a team of over 30 engineers. Her responsibilities include ensuring the platform meets supply chain requirements and enhancing user experience. Under her leadership, the company launched the Host App and InGoMMT Express, which focus on improving user interaction based on property type. Arya has contributed to the development of a scalable backend that supports various pricing models and template engines for multiple modules.

Education and Expertise

Prerna Arya holds a Post Graduation degree in Masters of Computer Applications from the Indian Institute of Technology, Roorkee, where she studied from 2008 to 2011. Prior to this, she completed her graduation in Mathematics at DAV College, Muzaffarnagar, from 2004 to 2007. Her foundational education includes studying PCMB at M G Public School, where she completed her X and XII from 1999 to 2004. This educational background provides her with a strong foundation in both technical and analytical skills relevant to her current role.

Background

Prerna Arya has a robust background in technology and management, with over a decade of experience in the travel and hospitality sector. Her career at Goibibo began in 2011, and she has since developed a deep understanding of supply chain platform requirements. Arya's experience includes managing large teams and overseeing complex projects that enhance user experience and operational efficiency.

Achievements

During her tenure at Goibibo, Prerna Arya has successfully launched significant applications such as the Host App and InGoMMT Express. These initiatives are aimed at improving user experience by tailoring interactions based on property type. Additionally, she has played a key role in developing a scalable backend system that accommodates various pricing models and template engines, demonstrating her technical and leadership capabilities in the field.

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