
Ling-Yun Lee
UBC Sauder MBAN | Business & Supply Chain Analysis
Technology / Internet
About Ling-Yun Lee:
- Strong foundation in data analysis, strategic evaluation, and business intelligence.
- Proficient in Python, SQL, Tableau, Power BI, and Excel.
- Skilled in analyzing complex data sets, generating actionable insights, and presenting findings to diverse audiences.
- Fast learner with the ability to thrive and deliver results in dynamic, fast-paced environments.
Experience
- Volkswagen Group Taiwan (Group Aftersales Supply Chain & Parts Analysis Intern): Improved supply chain efficiency by designing Excel data models, achieving a 70% reduction in inventory risks, and developing Power BI dashboards, enhancing operational efficiency by 30%.
- ASUS (Global Digital & E-Commerce Marketing Intern) : Optimized digital marketing campaigns through competitor analysis and data insights, leading to a 20% increase in campaign engagement. Coordinated cross-functional teams for consistent E-commerce strategies.
- The Hoffman Agency (Intern): Enhanced market awareness for clients through daily news summaries and published press releases in 16 outlets. Achieved consistent 96% monthly newsletter viewership.
Education
University of British Columbia - Master of Business Analytics
- Supply Chain Management: Gained insights into optimizing logistical processes and inventory control.
- Business Analytics Programming (Python): Developed complex algorithms and automated data workflows for analytical tasks.
- Optimal Decision Making: Learned mathematical modeling and decision analysis to improve strategic planning.
- Data Visualization: Mastered Tableau and techniques for effectively communicating data insights through visual storytelling.
- Database Application: Acquired expertise in SQL for managing and querying large datasets.
- Predictive Business Analytics: Built predictive models to forecast business trends and support proactive decision-making.