Honor: Role model of Smart manufacturing、Level 3 of Talents Project achievements: 1. Power saving of chilled water system ● content: Find the best energy-saving parameters via XGB model. ● benefit: Expected benefit is 1,200,000 NTD/year. 2. Power saving of blower ● content: Find the best energy-saving parameters via XGB model. ● benefit: Expected benefit is 280,000 NTD/year. 3. PHM - Find faults of water supply pump quickly via Logistic regression. ● benefit: 99% prediction accuracy and maintain the stability of production. Responsible for: ● Improve factory production with machine and deep learning ● Help the development of smart manufacturing projects and the parallel development of the factory (Equipment warning, energy saving and fee reduction, etc.)

Project achievements: 1. Predictive Maintenance and Quality ● content: Calculated the best maintenance time via XGB. ● benefit: 86% of the machine failures can be discovered early. 2. Order Forecast via Machine Learning model(Lasso、Ridge、XGB). ● benefit: Result in correctly control 70% of orders. 3. Recruiting with Big Data ● content: Finding Your Best Candidates via Random Forest model. ● benefit: Expected benefit is reducing the resignation rate from 59% to 20%. Responsible for: ● Responsible for data cleaning, and use data algorithms and tools to data mining. ● Participate in customer needs analysis, evaluate technical feasibility and building model.

Getting the public data via Web Scraping and merge private data for analysis, provide each department suggestions for admissions. Resulted in increasing the admission rate by 8.3%.

Data mining in NHIRD database via SAS and R. Analyze and predict the relationship between medication frequency and disease.