Bhargav Shah

Bhargav Shah has had a varied work experience. Bhargav started their career in 2015 as a Graduate Teaching Assistant at San Francisco State University, where they presented Machine Learning and Data Science workshops and coached and instructed students in Math and Data Science courses. In 2017, they moved to Eureka King Inc. as a Software Engineer - Machine Learning, where they helped companies make data-driven decisions using Deep Learning platforms. In 2018, they took on a Software Engineer role at AT&T and an AI/ML & Data Science advisor role at UC Berkeley Extension. In 2020, they joined Revenue Analytics, Inc. as a Software Engineer - Machine Learning and Tenderd as a Chief of Staff, Product and Marketing Manager, and Product Manager. In 2021, they became an Innovation Partner (Sustainability, IoT and Urban Transformation) at the World Economic Forum.

Bhargav Shah obtained a Master's degree in Embedded Electrical and Computer Systems Engineering from San Francisco State University between 2015 and 2017. Prior to that, they obtained a Bachelor's Degree in Electrical, Electronics and Communications Engineering from BITS Edu Campus: BABARIA INSTITUTE between 2010 and 2014. Additionally, they obtained certifications in Jeff Weiner on Managing Compassionately from LinkedIn in October 2017, and Neural Networks and Deep Learning by DeepLearning.AI from Coursera in October 2017.