Kuan-Wei (Rome) Lin

Seeking 2025 Full Time Positions in Data Engineering and Industrial Engineering

Hello! I'm Rome, a data enthusiast with a passion in data engineering and supply chain management. I enjoy building data pipelines and applying predictive modeling to enhance efficiency and streamline operations. With expertise in tools like Python, R, SQL, and Tableau, I transform complex data into actionable insights that drive strategic business decisions. I'm committed to continuous learning and innovation in supply chain management.

In my free time, I enjoy exercising, golfing, and exploring nature through hiking and camping. I also enjoy traveling and meeting new people and cultures.


Industry Experience

1.Data Engineer Intern

PitchBook

Designed and implemented automated ETL pipelines to monitor customer feedback.

Sept. 2024 - Current

2.Data Engineer Intern

Taiwan Semiconductor Manufacturing Company (TSMC)

Built and deployed RNN model on Azure DevOps to forecast chips manufacturing cycle time.

June 2024 - Sept. 2024

3.Industrial Engineer

Micron Technology

Strategized long-term capacity planning and accurate timelines of capital investment to ensure on-time delivery of business plans.

Aug. 2022 - Aug. 2023

Education

University of Washington

Master of Science in Data Science and Business Intelligence

GPA: 3.9

Sept. 2023 - June 2025

University of Washington

Bachelor of Arts in Supply Chain Management

GPA: 3.7

Sept. 2017 - March 2021

Skills

Programming Languages & Tools
  • Python
  • SQL
  • JAVASCRIPT
  • HTML/CSS
  • Tableau/PowerBI
  • Microsoft Azure
  • AWS
Languages & Soft Skills
  • English
  • Mandarin Chinese
  • Professional Communication
  • Project Management

Projects

Real Estate Dashboard Screenshot

Real Estate End-to-End Data Science Project

Developed an automated ETL pipeline using Apache Airflow and implemented RNN models for price forecasting.

GitHub Repository
Retail Database Dashboard Screenshot

Retail Database Project

Built a relational database using SQL and visualized insights with Tableau for a retail business.

GitHub Repository