Parth Shah

Parth Shah

Staff Data Scientist @ General Atomics

About Parth Shah

Parth Shah is a Staff Data Scientist at General Atomics, with a background in aerospace and mechanical engineering. He has held various engineering and data science roles at companies such as Pratt & Whitney and UTC Aerospace Systems, and he holds degrees from Rutgers University, Harvard Extension School, and Stanford University.

Work at General Atomics

Parth Shah has been employed at General Atomics as a Staff Data Scientist since 2018. In this role, he applies his expertise in data science to support various projects within the organization. His work contributes to the development and implementation of data-driven solutions that enhance operational efficiency and decision-making processes.

Previous Experience at Pratt & Whitney

Prior to his current role, Parth Shah worked at Pratt & Whitney as a Performance Engineer II from 2011 to 2015. During his four years in this position, he focused on performance analysis and optimization within the aerospace sector, contributing to the advancement of engine technologies.

Experience at UTC Aerospace Systems

Parth Shah served as a Project Engineer at UTC Aerospace Systems for 11 months in 2016. His responsibilities included managing project timelines and deliverables, ensuring that engineering projects met specified requirements and standards.

Data Scientist Role at TrueAccord

From 2017 to 2018, Parth Shah worked as a Data Scientist at TrueAccord, where he utilized data analytics to improve customer engagement and operational strategies. His role involved analyzing data trends to inform business decisions.

Education and Expertise

Parth Shah holds a Bachelor's Degree in Aerospace/Mechanical Engineering from Rutgers University, which he completed from 2007 to 2011. He furthered his education by obtaining a Master's degree in Finance from Harvard Extension School between 2017 and 2020. Additionally, he earned an Advanced Project Management Certificate from Stanford University in 2016.

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