Jeffrey Jeung

Jeffrey Jeung

Regional Fleet Manager @ Nuro

About Jeffrey Jeung

Jeffrey Jeung is a Regional Fleet Manager with a diverse professional background in financial, legal, and smart mobility sectors. He employs data-driven strategies and optimization techniques to improve user experiences and has held various managerial roles across multiple companies in the San Francisco Bay Area.

Work at Nuro

Jeffrey Jeung has been serving as the Regional Fleet Manager at Nuro since 2022. In this role, he focuses on optimizing fleet operations to enhance user experiences. His responsibilities include utilizing data and strategic planning to improve operational efficiency within the company.

Professional Experience in Fleet Management

Jeffrey Jeung has extensive experience in fleet management across various organizations. Prior to his current position at Nuro, he worked at Amazon as a Senior Program Manager of Regional Fleet Operations from 2020 to 2022. He also held the position of National Head of Fleet Operations at Aclima, Inc. from 2019 to 2020, and managed fleet operations at Chariot and Zipcar in the San Francisco Bay Area.

Background in Legal and Financial Sectors

Before transitioning into fleet management, Jeffrey Jeung worked in the legal sector as a Legal Document Court Filer and Case Researcher at Nationwide Legal LLC and First Legal Network from 2009 to 2012. His career spans multiple industries, including financial services, which has contributed to his diverse skill set.

Education and Expertise

Jeffrey Jeung holds a Bachelor's Degree in Accounting and Finance from San Francisco State University. His educational background supports his methodical and creative approach to operational management, particularly within the Smart Mobility Industry.

Adaptability and Problem-Solving Skills

Jeffrey Jeung demonstrates a strong eagerness to adapt and apply his skills to overcome challenges in fleet operations. His methodical approach, combined with a creative mindset, enables him to deliver results effectively in various operational contexts.

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