Shan Lu
About Shan Lu
Shan Lu is a Software Engineer at Asurion with a background in data analysis and a strong academic foundation in Industrial Engineering, Operations Research, Mathematics, and Computer Science.
Professional Experience at Asurion
Shan Lu has been working as a Software Engineer at Asurion starting in 2020. His role focuses on enhancing technical solutions and developing innovative software systems. His expertise has significantly contributed to various projects aimed at improving customer service automation and accuracy in after-sales service.
Previous Role at GRUNDFOS
In 2020, Shan Lu worked as a Data Analyst at GRUNDFOS for a duration of 3 months. During his time in San Diego, California, he applied his analytical skills to gather and interpret data, contributing to the company's data-driven decision-making processes.
Education at University of California, Berkeley
Shan Lu pursued a Master of Engineering degree in Industrial Engineering & Operations Research at the University of California, Berkeley, from 2020 to 2021. His academic focus equipped him with the skills necessary for optimizing complex systems and improving operational efficiencies.
Undergraduate Studies at University of California, San Diego
Shan Lu earned a Bachelor's degree in Mathematics and Computer Science from the University of California, San Diego, from 2016 to 2020. His studies laid the foundation for his proficiency in computational theories and practical applications in software engineering.
Leadership in Text-Based Model Development
Shan Lu led a cross-functional team to develop a text-based spaCy model for after-sales service, achieving an accuracy of 86%. His leadership and technical prowess were pivotal in achieving this high level of performance.
Enhancement of Customer Service Automation
Shan Lu enhanced customer service automation by 6% through the use of stemming and regular expressions to build an intent classifier with a precision of 80%. His work directly contributed to improving the efficiency and accuracy of customer interactions.