Thomas Atwood
About Thomas Atwood
Thomas Atwood is a Data Science Manager at project44 in Los Angeles with over a decade of experience in data science roles across various companies.
Current Role at project44
Thomas Atwood is currently serving as the Data Science Manager at project44 in Los Angeles, California. He applies his extensive experience in data science to manage and oversee data-driven projects within the company. In this role, he is responsible for leading a team of data scientists, ensuring the efficient application of data models, and delivering insights that drive the company's logistics and supply chain solutions.
Previous Role at ClearMetal
Before joining project44, Thomas Atwood worked at ClearMetal as a Senior Data Scientist for a period of seven years from 2015 to 2022. During his tenure in the San Francisco Bay Area, he utilized his expertise in data science to contribute to ClearMetal's predictive supply chain visibility solutions. This role involved working on complex data problems, developing predictive models, and implementing machine learning algorithms to optimize the supply chain processes.
Academic Background
Thomas Atwood has an extensive academic background with degrees from multiple prestigious institutions. He completed his Master's degree in Management Science & Engineering at Stanford University between 2012 and 2014. Prior to that, he undertook a LEAP Program in Systems Engineering and Mechanical Engineering at Boston University from 2011 to 2012. Additionally, he holds a B.A. in English Literature from Dartmouth College, where he studied from 2004 to 2008.
Early Career in Data Science
Thomas Atwood's career in data science began with his role as a Data Scientist at AutoGrid Systems from 2014 to 2015. There, he worked for one year in Redwood City, California, contributing to energy analytics and software solutions. His initial experience includes working as a Queueing Systems Research Assistant at Boston University from 2011 to 2012. This role provided him with a foundational understanding of complex systems and research methodologies.
Diverse Expertise
Throughout his career, Thomas Atwood has demonstrated a diverse range of expertise. He has worked in both startup environments and larger organizations, providing him with a broad perspective on the application of data science. His roles have spanned from academic research to industry applications, particularly focusing on the fields of logistics, supply chain, and energy analytics. His diverse educational background, encompassing engineering and English literature, further enriches his approach to data science and managerial responsibilities.