Hershel Mehta
About Hershel Mehta
Hershel Mehta is a Distinguished Data Scientist at Noodle.ai, where he has worked since 2023. He has extensive experience in data science and AI, having held various roles at Noodle.ai and Stanford University, and is known for his contributions to supply chain efficiency through advanced AI techniques.
Work at Noodle.ai
Hershel Mehta currently serves as a Distinguished Data Scientist at Noodle.ai, a position he has held since 2023. His previous roles at Noodle.ai include Principal Data Scientist and Engineering Manager from 2021 to 2023, Senior Data Scientist and Technical Lead from 2020 to 2021, and Senior AI Research Scientist from 2019 to 2020. He began his journey with Noodle.ai as an AI Research Intern in 2018. Throughout his tenure, he has focused on leveraging advanced data science techniques to enhance supply chain solutions.
Education and Expertise
Hershel Mehta holds a Bachelor of Science in Symbolic Systems from Stanford University, which he completed from 2010 to 2014. He further pursued a Master of Science in Symbolic Systems with a concentration in Artificial Intelligence at Stanford, graduating in 2018. His educational background provides a strong foundation in data science and artificial intelligence, which he applies in his professional roles.
Background
Before his current position, Hershel Mehta worked as a Data Science Educator at Posit PBC from 2021 to 2022. He has also held various roles at Stanford University, including AI Research Scientist and Neuroscience Research from 2014 to 2018. His early experience includes a Data Science Internship at Mirah in 2016. This diverse background in academia and industry has equipped him with a broad skill set in data science and AI.
Achievements
Hershel Mehta has made significant contributions to supply chain efficiency through the development of Generative AI applications, which have reduced out-of-stock incidents and lost sales by 75%. He has also implemented probabilistic policy simulations that optimized inventory management, resulting in a 20% reduction in excess stock. His work has contributed to lowering inventory holding costs through innovative AI-driven supply planning strategies.