# Yuan Li

> Software Engineer at Electronic Arts

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/yuanli

## Work Experience
### Software Engineer @ Electronic Arts (EA)
Jan 2021 – Present

### Data Engineer @ healthCrowd
Jan 2019 – Jan 2021
• Innovated and implemented pivotal features for member-engagement campaigns leveraging PHP and advanced template language
• Designed and established efficient reporting mechanism by querying and extracting data from both MongoDB and MySQL databases
• Streamlined data extraction, transformation, and loading processes, resulting in increased efficiency, reduced errors, and improved campaign performance

### Research Assistant, Part-time @ University of Michigan College of Literature, Science, and the Arts
Jan 2019 – Jan 2019 | Ann Arbor, Michigan
• Exhibited advanced skills in building a monitoring and logging tool to track packet loss and traceroute data, utilizing ElasticSearch, LogStash, and Kibana (ELK stack)
• Developed a deep understanding of network performance analysis and demonstrated expertise in implementing an efficient and scalable system for monitoring and troubleshooting network issues

### Research Assistant, Part-time @ ICPSR at University of Michigan Institute for Social Research
Jan 2019 – Jan 2019 | Ann Arbor, Michigan
• Led project to disambiguate funding source names, achieved in 20% increase in requests for annual released data
• Developed data ETL pipeline using Python, Jupiter Notebook and T-SQL; rolled out usage across team of data analysts and product managers
• Created a series of SQL queries to do funding source name cleaning, normalizing and transformation
• Collected data using web crawling by Python and conducted data analysis of record linkage and name matching

### Data Analyst Intern @ Gale, A Cengage Company (EMEA)
Jan 2018 – Jan 2018 | Farmington Hills, Michigan
• Developed advanced data analytics and visualizations to enable digital retrieval of online books and archives, demonstrating proficiency in data visualization tools 
• Utilized Python and Pandas to extract insights from vast collections of online books and archives, providing users with streamlined and efficient access to valuable data resources
• Successfully revamped data collection processes, leveraging best practices and advanced technologies to achieve a 35% reduction in processing time


## Education
### Master of Science - MS in Information science
University of Michigan
Jan 2017 – Jan 2019

### Bachelor's degree
Sun Yat-sen University
Jan 2013 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/yuanlii

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Source: https://flows.cv/yuanli
JSON Resume: https://flows.cv/yuanli/resume.json
Last updated: 2026-03-23