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Zeyu Li

I am currently seeking internship opportunities or full-time positions. I am a Mater Student in Spatial Data Science at the University of Southern California. My under graduate major is Software Engineering. I have solid software engineer with exceptional programming, analytical and mathematical skills. High proficiency in Android and iOS mobile development, and web development using Java, Go, React, Spring, Hibernate, Vue, MongoDB and Firebase.

Hi, Welcome 👋

👋 Welcome to my personal space! I’m Zeyu Li, a Spatial Data Science master’s student at the University of Southern California. As a devoted Software Engineer and Data Analyst with a penchant for Android, iOS, web development, and data analytics, I am constantly embracing challenges and new learnings in these evolving fields.

Education 🎓

  • University of Southern California, Los Angeles, CA
    M.S. in Spatial Data Science (STEM)
    GPA: 3.6/4.0
    Sep 2021 - Dec 2024

  • Tianjin University Renai College, Tianjin, China
    B.S. in Software Engineering
    GPA: 3.5/4.0
    Sep 2015 - Jun 2019

Technical Skills 💻

  • Programming: Python (Pandas, Numpy, Scipy, Airflow, Matplotlib), SQL, Java, C++, React, Vue, Docker, AWS EC2, Google Cloud Platform, Anaconda, GitHub, Apache Tomcat, Postman
  • BI Tools: Dashboard, Tableau, Data Visualization, Excel (lookup / pivot), ArcGIS, StoryMap
  • Machine Learning: Regression, Decision Tree, Random Forest, Anaconda, Scikit-learn

Professional Experience 🚀

  • Walletspot, Los Angeles, CA
    Data Analyst & Frontend Engineer Intern
    Jun 2023 - Aug 2023

    • Developed a Vue.js Chrome extension for NFT swaps across blockchains for 15,000+ users.
    • Integrated OX, Infura, and Web3 for 50,000+ transactions, increasing monthly users by 30%.
    • Analyzed user behavior and transaction patterns using Python and pandas.
    • Implemented data visualization dashboards using matplotlib and seaborn.

  • AI Roboto Edu, Los Angeles, CA
    Data Analyst & Frontend Engineer Intern
    Jan 2023 - Jun 2023

    • Implemented a course learning system using Vue.js, CSS, and JavaScript.
    • Launched a user-friendly search interface, boosting content discovery rates by 37%.
    • Conducted A/B testing on different interface designs, increasing session duration by 15%.
    • Analyzed course engagement metrics and feedback using Python, resulting in a 20% decrease in user-reported issues.

  • Tianjin Teda China Software Excellence Information Technology
    Software Developer Intern
    Los Angeles, CA
    Jun 2019 - May 2021

    • Collaborated with a cross-functional team to design and implement a user-centric web platform, improving the overall site engagement by 25%.
    • Pioneered the integration of a responsive design framework, ensuring optimal user experience across all device sizes.
    • Assisted in migrating the company’s legacy system to a microservices architecture using Spring Boot and Docker, which enhanced system scalability and reduced maintenance overhead.
    • Contributed to code reviews, adopted best practices, and ensured the delivery of high-quality code using tools like Jenkins and SonarQube.

Academic Projects 📚

  • Optimization of Human Activity Classification using Time Series Data

    • Leveraged AReM dataset for time-domain feature extraction in financial data.
    • Applied L1-penalized Logistic Regression for enhanced activity classification.
    • Evaluated Naive Bayes with Gaussian and multinomial priors for performance.

  • StoryMap: Los Angeles Diabetes Factors Data Exploration
    Link to Project

    • Merged four datasets to craft the “Census_Tracts_2020” mapping layer for L.A. diabetes factors.
    • Applied forest-based classification and regression method, attaining R^2 values of 0.815 (training) and 0.585 (validation set).
    • Uncovered significant correlations between diabetes prevalence and factors like walkability, minority status, and grocery locations.

Let’s Connect! 🌐

I am always open to connecting with fellow professionals. Here’s where you can find me:

Thank you for stopping by!