Xinyi Li

Data Scientist @Safe Fleet

Coquitlam, BC, CA

Led cross-functional data pipeline initiatives on Azureo Designed and implemented scalable pipelines using Azure Data Factory and Databricks to automate reporting and analytics, significantly reducing manual workload for support teams and enabling faster, more consistent insights.o Partnered with frontline support specialists to offload repetitive data tasks, freeing them to focus on high-value work and enhancing overall operational efficiency.• Contributed to R&D projects to enhance product performance and designo Conducted in-depth analysis on solar panel charging rates for trailer-mounted cameras, enabling data-driven recommendations for optimal camera configurations.o Analyzed failure patterns across two previous generations of camera hardware, revealing temperature control as a critical factor—directly influencing the thermal design focus of the third generation.• Generated operational and performance reports for internal teamso Built automated reporting pipelines in Databricks and Data Lake to support monthly and bi-weekly performance monitoring for engineering, support, and customer-facing teams.o Collaborated with Customer Success to proactively flag and escalate ~3 potential device issues per month, improving responsiveness and reducing field failures.• Led initiatives in Generative AI and internal educationo Integrated Whisper API for audio transcription to support law enforcement workflows. o Bridged communication between business and technical teams through the internal “Sharing Knowledge of AI” initiative, increasing stakeholder understanding of AI capabilities.

The University of British Columbia

Master's degree, Masters of Data Science Computational Linguistics

Northwestern Polytechnical University

Bachelor of Science - BS, Applied Mathematics

National Sun Yat-Sen University

Exchange student, Applied Mathematics

Columbia University

Summer School