Feilin Guo
LinkedIn | [email protected] | (217) 308-8435
University of Illinois Urbana-Champaign – Champaign, IL
Master of Science in Business Analytics
Aug. 2024 – June 2025 (expected)
Relevant Courses: Big Data in Finance, Data Storytelling, Applied Financial Econometrics, Enterprise Database Management, Business Intelligence
Shanghai University of Engineering and Technology – Shanghai, China
Bachelor of Economics in International Economy and Trade
Sep. 2019 – June 2024
- Overall GPA: 3.7/4.0, Ranking: 1/97
- Awards: 2023 Shanghai Scholarship, First Class Scholarship (2021 & 2023)
- Programming Languages: Python (Numpy, Pandas, Matplotlib), SQL, R (ggplot2, dplyr), Stata
- Software & Tools: AWS, Power BI, PostHog, Tableau, Databricks
- Languages: English (Fluent), Chinese (Native)
NCSA Data Analyst
University of Illinois Urbana-Champaign, Champaign, IL
Aug. 2024 – Present
- Developed dashboards on PostHog to track and visualize north star metrics, contributing to a 20% increase in user engagement.
- Conducted user behavior analysis for marketing optimization, expected to boost user base by 20%.
Data Analyst Intern
XD Entertainment Pte Ltd., Shanghai, China
Jan. 2024 – Apr. 2024
- Extracted KPIs using SQL for “Sword of Convallaria” game launch, leading to a 9% increase in 1-month user retention.
- Analyzed employee engagement survey data using Python, providing insights that shaped engagement strategy.
Retail Quality Improvement Intern
Volvo, Shanghai, China
June 2023 – Nov. 2023
- Automated dashboard creation in Power BI for dealer development tracking in APAC, reducing reporting time by 40%.
- Crawled and analyzed vehicle recall news data for APAC regions, providing key insights to quality management teams.
Team Leader – Contemporary Undergraduate Mathematical Contest in Modeling
Sep. 2023
- Processed 870k rows of daily sales data to create an ARIMA model for price and inventory optimization of selected vegetables.
Team Leader – Vital Signs Data Estimation by Electronic Signals
June 2023
- Utilized clustering and decision tree models to classify electronic signals, improving data estimation accuracy by 15%.
- 2023 Shanghai Scholarship
- Excellent Paper of Undergraduate Mathematical Contest in Modeling (2023)
- First Class Scholarship (2021, 2023)
- Outstanding Student Award (2022)