Machine Learning & Data Science Intern

Bell Canada, Network and Technology Service

• Implemented NLP algorithms to categorize field service based on technician inputs, improving classification accuracy and service insights.
• Developed the Truck Roll (TR) Analyzer to study and monitor dispatch rates, creating interactive dashboards with MicroStrategy.

Undergraduate Machine Learning Researcher

Computational Social Science Lab, University of Toronto

• Researching on aligning LLM with human behavior under the supervision of professor Ashton Anderson as part of the Computational Social Science Lab.

AI & Data Engineering Intern

China National Environmental Protection Group, Centre of Digital Transformation

•  Developed database managing features using CESoft Excel Server, integrating Microsoft Excel and SQL Server;
• Designed a comprehensive multi-factor scoring system for large-scale machinery, leveraging existing product models, parameters, and operational data to enhance purchasing decisions. This system was adopted by the company and its 50 subsidiaries;
• Implemented OA feature for cleaning, storing, querying, and summarizing in-company training data, improving overall data accessibility.
• Created a real-time BI dashboard with Tableau on annual production data to support annual production reporting and decision-making.

Peer Mentor

University of Toronto, Department of Statistical Science

• Coordinating student events for STA 130 mentees in collaboration with teams and campus partners.
• Offering personalized academic and campus-life support during the university transition.
• Demonstrating effective study habits and active engagement as a role model for first-year students.
• Creating an inclusive, welcoming environment to foster student belonging.