Sam Cox
About Sam Cox
Sam Cox is a Data Scientist currently employed at Shift in Memphis, Tennessee, where he has worked since 2022. He has a background in mechanical engineering and specializes in machine learning and optimization techniques for logistics.
Work at Shift
Sam Cox has been employed at Shift as a Data Scientist since 2022. In this role, he focuses on applying machine learning and optimization techniques to logistics, enhancing real-time predictive analytics. His tenure at Shift has contributed to the company's data-driven decision-making processes in Memphis, Tennessee.
Previous Employment Experience
Prior to joining Shift, Sam Cox worked at ECS as a Data Scientist from 2021 to 2022. He also held positions at HCL Technologies from 2020 to 2021 and Green Mountain Technology from 2018 to 2020, both as a Data Scientist. His experience spans various roles, including internships at Oak Ridge National Laboratory and Baker Hughes, where he gained valuable insights into mechanical engineering and field operations.
Education and Expertise
Sam Cox earned a Master of Science in Engineering from Mississippi State University, studying from 2016 to 2018. He also holds a Bachelor of Science in Mechanical Engineering from the same institution, completed from 2011 to 2015. His academic background equips him with a strong foundation in model predictive control and simulation modeling of energy systems.
Background in Mechanical Engineering
Sam Cox has a background in mechanical engineering, which includes experience as a Graduate Research Assistant at Mississippi State University from 2014 to 2018. This role allowed him to deepen his knowledge in engineering principles and research methodologies, further enhancing his capabilities in data science and analytics.
Specialization in Data Science
Sam Cox specializes in the application of machine learning and optimization techniques, particularly in logistics for real-time predictive analytics. His expertise allows organizations to leverage data for improved operational efficiency and decision-making.