SYNTEC Quality Engineer, June 2020 - present

• Quality problem analysis and improvement: Establish data flow from suppliers, collect data through SQL, use FineReport software to build monitoring dashboards, give immediate feedback and ask suppliers to improve, and use Minitab for SPC process control and statistical visualization.
  
• Client application experiment planning and quality improvement: Execute the supplier yield improvement project, find out the true cause of the defect, and improve the product pass-through rate by 1% within three months.
  
• Quality and engineering data analysis and improvement of production quality control process: use big data analysis to import product testing standards to effectively screen out high-risk defective products.
  
• Manufacturing production quality problem handling and implementation of NPI process.
  
• Participated in the 2021 Taiwan Continuous Improvement Competition, was responsible for data analysis, and published results on behalf of the company. The first time I participated, I won the highest honor of the Golden Tower One-Star Award.
  

FETC General Manager's Office Quality Management and Operations Audit Department Intern, May 2018 - July 2019

• Applied MS SQL to extract data from the database, and joined different forms to get specific user information.
• Created a web-crawler that would scrape the weather data from the Central Weather Bureau, and then established QGIS project to combine the location with the weather for the next analysis.
• Build machine learning models such as SVM, Random Forest, Neural Network to identify important variables that affect detection rate.
• Developed the Neural Network + Genetic algorithm model, which can find the optimal set of important attributes, and ideally increase the detection rate by about 4% (89% to 93%).
• Established the Association and Decision rule to explore the hidden relationship between the variables of the data.

2018 DIGI+Talent Program, June 2018 - December 2018

• Got the "Best Creativity Award" with the idea of "HenSun Solar Butler".

Master of Industrial Engineering, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, September 2017 - June 2019

• Thesis topic: Application of Machine Learning Techniques to Freeway ETC Detection 
• Instructor: Professor Su, Chao-Ton 
• Abstract: Used Data Mining and Machine Learning to establish a series of analysis processes, which can find hidden, unknown and useful information from big data. The ultimate goal is to improve the performance of indicator variables. 

Bachelor of Science, Department of Industrial and Information Management, National Cheng Kung University, September 2013 - June 2017

• Graduation Topic: A Statistical Analysis of the Impact of Soil Liquefaction Potential Map on Housing Price: A Case Study of Tainan