Arash Ashtiani P. Eng.
About Arash Ashtiani P. Eng.
Arash Ashtiani is the Director of Data Science at CubicFarm Systems Corp. in Vancouver, British Columbia, with extensive experience in data science and product management, particularly in the automotive fuel cell industry.
Work at CubicFarm Systems
Arash Ashtiani has been serving as the Director of Data Science at CubicFarm Systems Corp. since May 2021. In this role, he leads data science initiatives, focusing on leveraging data to enhance operational efficiency and product development. His work contributes to the company's mission of advancing sustainable agricultural practices through innovative technology.
Education and Expertise
Arash Ashtiani holds a Master's degree in Mechanical Engineering and Computer Science from the University of Victoria, completed between 2009 and 2011. He also studied Technology Commercialization at the Beedie School of Business at Simon Fraser University from 2020 to 2021. His educational background is complemented by various specializations, including Machine Learning from the University of Washington and Image and Video Processing from Duke University.
Background in Data Science
Arash Ashtiani has extensive experience in data science, particularly within the automotive fuel cell industry. He worked at AFCC Automotive Fuel Cell Cooperation Corp. for six years, serving as a Senior Data Scientist and later as a Data Product Manager. His background includes a role as a Graduate Research Assistant at the University of Victoria, where he contributed to research projects from 2009 to 2012.
Entrepreneurial Ventures
In 2018, Arash Ashtiani founded Triptech Engineering & Software Solutions LTD, where he serves as Director. This venture focuses on providing engineering and software solutions, leveraging his expertise in data science and technology. Additionally, he worked as a Program Manager IoT consultant at Olympic Controls from 2020 to 2021, further expanding his experience in technology management.
Professional Development
Arash Ashtiani has pursued various professional development opportunities, including an online specialization in Computer Programming from Rice University and a Machine Learning Specialization from the University of Washington. His commitment to continuous learning is evident in his diverse educational pursuits, which enhance his capabilities in data science and technology commercialization.