Abhimanyu Pandit

Abhimanyu Pandit has a diverse work experience spanning multiple companies and roles. Abhimanyu started their career at XL Dynamics India Pvt. Ltd. as an Associate Project Analyst, where they played a key role in facilitating software product roadmap, collaborating with product management and software development teams, and maintaining detailed project documentation. Abhimanyu then worked at Lakshya Digital as a Project Manager for a brief period before joining Daimler AG as a Project Management Analyst Intern. At Daimler AG, they gained valuable experience in project management. Abhimanyu then transitioned to Pearson, where they worked as an Associate Project Manager and Scrum Master for over two years. Currently, they are employed at Savvas Learning Company, taking on the role of Project Manager and Scrum Master. Abhimanyu's work experience showcases their expertise in project management, scrum methodology, and their ability to collaborate with cross-functional teams.

Abhimanyu Pandit's education history includes a Master of Science (M.S.) degree in Information Technology and Management from The University of Texas at Dallas, which they obtained from 2015 to 2017. In 2016, they also attended Harvard University as a Graduate Summer Student, where they studied Agile Software Development. Prior to that, they pursued a Master of Business Administration (MBA) degree in Operations Management from Alliance University from 2011 to 2013. Abhimanyu's undergraduate education was completed at Rajasthan Technical University, Kota, where they earned a Bachelor of Technology (B.Tech.) degree in Electronics and Communications Engineering from 2006 to 2010.

In addition to their formal education, Abhimanyu has obtained several certifications. Abhimanyu received the CSM - Certified Scrum Master certification from the Scrum Alliance in October 2017. In September 2017, they obtained the Google Analytics for Beginners certification from Google. Furthermore, they earned a certification in Business Intelligence and Data Mining from SAS in May 2016.