Darren Lam
About Darren Lam
Darren Lam is a Business Systems Analyst at TELUS in Vancouver, British Columbia, Canada, with a background in commerce and extensive experience in customer service and business analysis.
Title
Darren Lam holds the position of Business Systems Analyst at TELUS in Vancouver, British Columbia, Canada.
Current Role at TELUS
Darren Lam is currently working as a Business Systems Analyst at TELUS. In this role, he is responsible for analyzing and overseeing business systems to improve operational efficiency and customer experience. His expertise includes the development and programming of the TELUS Assist virtual assistant platform, which aims to enhance customer service through smooth, reliable chatbot interactions.
Previous Roles at TELUS
Prior to his current role, Darren Lam accumulated extensive experience at TELUS. He served as a Team Manager from 2014 to 2020. Before that, he worked as a Business Analyst I for 10 months from 2013 to 2014, and as a Client Care Representative from 2012 to 2013. Each of these roles contributed to his deep understanding of TELUS's operations and customer service strategies.
Education and Expertise
Darren Lam's educational background includes a Bachelor of Commerce from the University of Victoria - Peter B. Gustavson School of Business, where he specialized in Services Management from 2007 to 2011. He also participated in an International Academic Exchange program at Aalto University in Helsinki, Finland, concluding in 2010. These educational experiences have equipped him with a solid foundation in commerce and international business practices.
Projects and Initiatives
Darren Lam has been instrumental in several key projects at TELUS. He developed and programmed the TELUS Assist virtual assistant platform, which has significantly improved customer service. He was involved in designing a smooth and reliable chatbot customer experience, as well as integrating digital APIs to personalize customer interactions. Moreover, he has collaborated with cross-functional teams to add new functionalities to chatbots, thereby enhancing their capabilities.