Keith Jennings
About Keith Jennings
Keith Jennings is a Data Specialist currently employed at J.D. Irving, Limited since 2021. He has a diverse background in data science and analysis, with experience in various roles across multiple organizations, including positions at CPMT, TransCanada, and the City of Edmonton.
Work at J.D. Irving
Keith Jennings has been employed at J.D. Irving, Limited as a Data Specialist since 2021. In this role, he focuses on developing data solutions that enhance decision-making processes for management. His work involves utilizing various data analysis tools and methodologies to support the company's operational objectives. Jennings is based in Moncton, New Brunswick, Canada, where he applies his expertise to address business challenges.
Previous Experience in Data Analysis
Prior to his current position, Jennings held several roles that contributed to his expertise in data analysis. He worked as a Fund Analyst at CPMT from 2015 to 2016, where he gained experience in financial data analysis. He also served as a Data Science Specialist at Camber Co. from 2019 to 2020, and as a Machine Learning Developer Intern at AltaML in 2020. These positions allowed him to develop data solutions using programming languages such as Python and R Shiny.
Education and Expertise
Keith Jennings holds a Bachelor of Arts (Hons.) in Economics from the University of Calgary, which he completed from 2011 to 2016. He furthered his education by obtaining a Master's degree in Data Science from the same institution, graduating in 2021. His academic background provides him with a strong foundation in both economic principles and data science methodologies, enhancing his ability to analyze and interpret data across various industries.
Background in Data Science
Jennings has a diverse background in data science, having worked in various capacities that include roles as a Data Science Work Experience Student at the City of Edmonton and as a Research Assistant at the University of Calgary. His experiences have equipped him with a solid understanding of data analysis and its applications in real-world scenarios. He aims to leverage this knowledge to improve decision-making processes within organizations.