Education
Skills
Project Experience
Languages
Timeline
Generic

Xinglu Zhao

Commack,NY

Education

Master of Science - Information Management

University of Illinois at Urbana-Champaign
Champaign, IL
05.2025

Bachelor of Science - Computer Science

New York Institute of Technology
Manhattan, NY
05.2023

Skills

Programming languages: Python, Java, SQL, HTML, JavaScript

Technologies: Pandas, ETL, GitHub Codespace, Spring Boot, Django, Vuejs, PowerShell, Web Service Deployment, Windows Server/Active Directory, Tableau, Power BI

Project Experience

StealLight 2 – Full-Stack Developer (Fall 2022)

  • Built an adaptive learning platform with Spring Boot, MyBatis, Vue.js, and MySQL to deliver personalized course content and quizzes; designed and normalized the database schema, implemented REST APIs and role-based access control, improving system stability by 30%.
  • Developed unit tests with JUnit to verify core service-layer logic, achieving 85% code coverage and reducing regression defects.

Language Learning Web Application – Front-End & Data Lead (Spring 2022)

  • Developed a bilingual (Chinese & Japanese) learning site with pronunciation guides, dialogues, and quizzes. Built the front-end in HTML/CSS/JavaScript; integrated Firebase for authentication and real-time data storage.
  • Led data integration and UI component development within a four-member team.

Django ChatBot – Full-Stack Developer  (Spring 2024) 

  • Architected a rule-based chatbot with a Django back end and AJAX front end using a flat-file knowledge base for O(1) lookups; designed a stateless architecture and caching layer and drafted an ML-based intent recognition roadmap.

BWF Player Rankings Data Pipeline – Data Analyst (Spring 2025 )

  • Cleaned & merged ~50 K badminton match and ranking entries with Python/pandas; standardized fields to boost merge accuracy by 25%, developed an end-to-end ETL workflow in Jupyter, and uncovered a –0.33 correlation between rank and win rate

Credit-Card Churn Prediction (Fall 2024) 

  • Engineered 20+ features and trained logistic regression & random forest models achieving ROC-AUC scores of 0.78/0.85.
  • Identified key churn drivers—monthly spend, satisfaction score, complaint count—and recommended targeted retention actions.

Languages

English
Professional
Chinese (Mandarin)
Native/ Bilingual

Timeline

Master of Science - Information Management

University of Illinois at Urbana-Champaign

Bachelor of Science - Computer Science

New York Institute of Technology
Xinglu Zhao