Wei-Chi Huang

Topic: Prediction of Tire Uniformity for Truck Tires by using Machine Learning Methodology based on a Green Tire Measurement System. - Executed exploratory data analysis to identify patterns. - Enhanced ML model accuracy from 48% to 70% by implementing algorithms and feature engineering. - Defined a custom evaluation metric to evaluate model performance. - Researched and conducted 5+ tree-based ML algorithms to discover the best technique for the problem. - Advanced applications of PyTorch deep learning.

- Identified trends and patterns in datasets through exploratory data analysis, leading to actionable insights. - Conducted thorough data validation, ensuring the accuracy and reliability used for analysis. - Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.

- Ownership: New Product Introduction (NPI) project owner, coordinated and launched over 20 products. - Employed data validation techniques to analyze production data, ensuring data consistency and data reliability. - Leveraged machine performance analysis to determine and improve production efficiency. - Established production flow and production planning to help the organization produce smoothly. - Collaborated with cross-functional teams for effective resource allocation and capacity scheduling.