Xinyi Li

• Guided students from non-CS backgrounds to transition into data science and computer science fields by offering tailored career advice and mentorship. • Advised on project development, helped plan extracurricular activities to enhance their technical skills, and facilitated connections with industry professionals.

• Led cross-functional data pipeline initiatives on Azure o 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 design o 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 teams o 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 education o 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.

• Engaging with new and existing clients on a daily basis to better understand their short- and long-term financial goals; • Monitoring client portfolios to ensure these meet their progress and target requirements; • Providing tax, income, and estate guidance for clients while being able to answer questions; • Regularly attending training sessions to stay up-to-date with regulatory or industry changes; • Assisting with marketing and communications to help grow customer base; • Proactively resolving or preventing banking or portfolio problems; • Educating clients to ensure they understand how their money is being managed

• Collaborated with domain experts to extract linguistic features that indicate the quality of a course script, providing actionable insights for course improvement. • Built linear regression models to relate linguistics features (readability scores, sentiment analysis, keyword frequency) to the final NPS score which shows user satisfaction. • Presented data-driven insights and model outcomes to cross-functional teams, improving decision-making processes.

• Worked as both English and math teacher, taught students in 1-to-1 class, including normal teaching as well as before-exam tutoring； • Monitored the progress of students, conducted weekly and monthly reports to their parents or guardians； • Assisted other teachers in designing learning materials for students of different levels； • Earned positive verbal feedback from parents regarding instruction and student learning success

• Handled plan and member maintenance, including data updates, financial transactions; • Worked with colleagues to resolve customer complaints and provide feedback to other departments to help improve marketing and business processes.