# Yinuo Xu

> Seeking SWE and Data Summer Intern | Master’s in Applied Analytics @Columbia University | GHC’25 | Prev. SDE Intern @HIS | Computer Science and Business Honor Program @Lehigh University

Location: Jersey City, New Jersey, United States
Profile: https://flows.cv/yinuo

## Work Experience
### Teacher Assistant/ Academic Tutor @ Lehigh University
Jan 2023 – Present | Pennsylvania, United States
• Helped students get a deeper understanding of their course by answering questions about class material and homework problems.
• Held office hours twice a week with 10+ student attendance and received high recognition from the attendees.
• Assisted eight students to become familiar with the course’s hard concepts and helped them improve their grades

### Leh-Laf Hackathon Backend-designer @ Lehigh University
Jan 2023 – Jan 2023
•Actively contributed to the Leh-Laf Hackathon sponsored by Amazon AWS in November 2023, demonstrating rapid development,
software creation, and problem-solving skills.
• Utilized Flask and React-Native to develop the app’s backend database and front-end mobile, showcasing the ability to leverage cutting-edge tools. The project received positive feedback and support for its potential impact on mental well-being during the hackathon demo.
• Led a team in creating a unique mental health app within a 24-hour timeframe, providing users with an anonymous platform to share their
troubles in different communities and engage with randomly generated avatars based on their input usernames to increase the fun of user
experience.

### Data Visualisation Team @ PODS
Jan 2024 – Jan 2024 | Bethlehem, PA
• Collaborated with cross-functional teams to enhance quote generation by analyzing user trends, identifying root causes, and implementing solutions, improving acceptance rates by 15% through Jira/Trello-driven defect tracking.
• Automated validation workflows for ML-driven recommendations and UI changes using Python/SQL, Java, Figma, and Snowflake datasets, enabling A/B testing at scale.
• Optimized testing frameworks with the QA team to refine testing frameworks, achieving 86% model accuracy through iterative process optimization and data-driven refinements.

### Data Specialist @ PODS
Jan 2024 – Jan 2024
Data Visualization Capstone Project

• Collaborated with cross-functional teams to enhance quote generation by analyzing user trends, identifying root causes, and implementing solutions, improving acceptance rates by 15% through Jira/Trello-driven defect tracking.
• Automated validation workflows for ML-driven recommendations and UI changes using Python/SQL, Java, Figma, and Snowflake datasets, enabling A/B testing at scale.
• Optimized testing frameworks with the QA team to refine testing frameworks, achieving 86% model accuracy through iterative process optimization and data-driven refinements.

### Software Engineer Intern @ Horus Intelligence Solutions
Jan 2024 – Jan 2024 | California, United States
• Led the development of a cloud-based IMS for supply chain operations using Java, Python and AWS; designed the system architecture, developed backend modules for authentication, inventory tracking, and analytics, and built a responsive web application.
• Developed RESTful APIs using JSON and .NET Framework to manage product, supplier, and inventory data, ensuring seamless CRUD operations for a mobile application.
• Built an RDBS using SQL Server and optimized queries for real-time inventory tracking by integrating Power Apps with .NET backend services to enhance frontend functionality.

### Business Analyst Intern @ Broadhead Analytics
Jan 2023 – Jan 2023 | New York, United States
• Utilized Python to analyze major factors affecting the trend of injury death, fitted a model to predict the trend, and created several visual dashboards by Power BI to empower strategic decisions made in the healthcare industry.
• Composed a research report on the impact of COVID-19 on hate crimes and used data tools to present the crime rate in several graphs, like pie charts, bar charts, heatmaps, etc.
• Designed the related Power BI board for each task to display analysis progress and developing tendencies in this field. Created PowerPoint presentations to show improvement strategies and potential problems, and provide feasible solutions.

### Part-time Assistant, Google @ Instacart
Jan 2023 – Jan 2023 | remote
• Utilized Python to analyze 4 groups’ product data of Instacart and developed 6 visualizations to showcase customers’ purchasing
behavior trends
• Provided recommendations on future development and potential risk analysis for the Instacart grocery department regarding the analysis.
• Summarized the findings and generated a report regarding the data to provide insight into improving the functionality of Instacart’s
online ordering platform.


## Education
### Master of Computer Applications - MCA in Data Processing
Columbia University

### Bachelor of Science in Computer Science
Lehigh University

### Master of Science in Applied Analytics
Columbia University


## Contact & Social
- LinkedIn: https://linkedin.com/in/yinuoxu0908

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Source: https://flows.cv/yinuo
JSON Resume: https://flows.cv/yinuo/resume.json
Last updated: 2026-03-29