Brian T.
About Brian T.
Brian T. is a Data Scientist at TELUS with extensive experience in software engineering and business analysis.
Title and Current Role
Brian T. is currently positioned as a Data Scientist at TELUS. In this role, he leverages his expertise to design and implement data-driven solutions that aid various teams within the company. His contributions include the deployment of Apache Airflow and the automation of ETL pipelines using Python and Pandas, which have been instrumental in helping sales teams better understand their funnel.
Previous Experience at TELUS
Before his current role, Brian worked at TELUS in different capacities. From 2013 to 2016, he was a Business Systems Analyst II in Vancouver, where he gained substantial experience in business analytics. His earlier stint at TELUS, from 2009 to 2010, was as a Business Analyst in Vancouver. These roles have equipped him with a solid foundation in both business and technical aspects, crucial for his current data scientist position.
Other Professional Experience
Brian's career includes roles in Hong Kong, working with various organizations. He was a Senior Software Engineer at Fireworks Internet for 11 months, a Software Engineer at BEECRAZY for 6 months, and a Software Engineer at Ribose for a year. These roles allowed him to develop a strong background in software engineering before focusing more on data science and analytics.
Educational Background
Brian pursued his MSc in E-Commerce at The University of Hong Kong from 2010 to 2012, where he gained advanced knowledge in electronic commerce systems. Earlier, he completed his BASc in Computer Engineering at The University of British Columbia, from 2003 to 2008. His education provided him with a solid foundation in both software development and complex technical problem-solving.
Projects and Technical Skills
Brian has been involved in several significant projects. He designed and built a forecasting model using R, tidyverse, SQL, and 'forecast' to help his team understand future technician demand. He also built a survival analysis model in R and SQL to investigate factors leading to customer churn. Additionally, he led an initiative to create a collaborative filtering recommender system for recommending new products to small business customers. His technical skills span across multiple programming languages and specialized tools including Python, R, SQL, and various data processing libraries.