Kin (Zijian) Lu
About Kin (Zijian) Lu
Kin (Zijian) Lu is a Senior Business Analyst at TELUS in Toronto, Ontario, Canada, with extensive experience in data analysis, logistics, and business analytics.
Title
Kin (Zijian) Lu is a Senior Business Analyst currently working at TELUS in Toronto, Ontario, Canada. Lu's role involves leveraging advanced technical skills and data analytic tools to drive business insights and operational improvements.
Current Role at TELUS
Kin (Zijian) Lu serves as a Senior Business Analyst at TELUS, a major Canadian telecommunications company. Based in Toronto, Ontario, Canada, Lu utilizes his expertise in data analysis, predictive analytics, and data visualization to streamline reporting processes and enhance data accessibility for stakeholders. His work includes developing automated dashboards and creating complex data processing scripts using Python.
Previous Professional Experience
Kin (Zijian) Lu has an extensive career history. Before his current role, he worked at TELUS as a Business Analyst for 11 months, from 2020 to 2021. Prior to that, he served as a Data Analyst - Air Product at AWOT Global Logistic Group from 2018 to 2020 in Mississauga, Ontario. Lu also worked as an Air Product Lead Agent at Expeditors for seven years, from 2011 to 2018. His early career includes a two-year stint as a Management Trainee at Suning Commerce Group Co., Ltd. from 2008 to 2010.
Education and Expertise
Kin (Zijian) Lu holds a Graduate Certificate in Business Analytics from Seneca College, obtained between 2019 and 2020. He also has a Bachelor of Science in Logistics Engineering and Traffic Engineering from South China University of Technology. Lu's strong background in logistics and traffic engineering enables him to provide unique insights into supply chain and transportation challenges. Proficient in tools like SAS Enterprise Miner, SQL, Tableau, and Python, he is highly skilled in data visualization, predictive analytics, and database management.
Technical Skills and Projects
Kin (Zijian) Lu has developed automated dashboards that streamline reporting processes and improve data accessibility for stakeholders. His advanced technical skills in Python enable the creation of complex data processing scripts for business insights. He uses SAS Enterprise Miner for predictive analytics and data mining projects. Lu is also proficient in creating data flow diagrams and process models to enhance operational efficiency. Additionally, he is skilled in using Tableau for data visualization and SQL for managing large datasets, ensuring data integrity and accuracy.