Carrie Tong

Carrie Tong

Data Engineer @ TELUS

About Carrie Tong

Carrie Tong is a Data Engineer at TELUS in Edmonton, Alberta, Canada, with a background in telecommunications and oil & gas industries.

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Carrie Tong is a Data Engineer currently working at TELUS in Edmonton, Alberta, Canada. She has a strong professional journey within the company, having held different roles over the years.

Experience at TELUS

Carrie has significant experience at TELUS, where she has worked in various capacities. She is currently a Data Engineer, a position she also held from 2018 to 2020. Prior to that role, she worked as a DC Power Planning Engineer from 2017 to 2018. In her current role, she has been involved in data intelligence and automation projects, and has developed technology and strategy solutions as part of the Data Platform & Data Information Services team.

Education and Expertise

Carrie holds a Master's degree in Statistical Machine Learning (SML) from the University of Alberta, which she completed between 2019 and 2021. She also holds a Bachelor of Engineering (B.Eng.) in Electrical, Electronics and Communications Engineering from the same institution, completed from 2012 to 2017. Her technical skills include advanced proficiency in Tableau for data visualization and analysis, as well as expertise in R programming for statistical analysis and machine learning.

Previous Experience in Oil & Gas Industry

Before joining TELUS, Carrie gained valuable experience in the oil & gas industry. She worked as an Electrical Instrumentation & Control Engineer at ExxonMobil for 7 months in 2016, stationed at the Mahihkan Field Office in Cold Lake. Additionally, in 2015, Carrie worked for 7 months as an Electrical Engineer at Shell in Fort McMurray, Alberta.

Professional Background

Carrie Tong's professional background spans both telecommunications and oil & gas industries, showcasing her versatility and breadth of expertise. Her experience includes positions at TELUS, ExxonMobil, and Shell, highlighting her strong background in electrical engineering, data analytics, and strategic technology development.

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