Taichung City, Taiwan
十月 2020 - Present
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.)
九月 2018 - 九月 2020
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.
十一月 2017 - 九月 2018
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%.
十二月 2016 - 十月 2017
Data mining in NHIRD database via SAS and R.
Analyze and predict the relationship between medication frequency and disease.
2013 - 2015
2009 - 2013
發照日期 九月 2015 · 永久有效
發照日期 五月 2015 · 永久有效
Taichung City, Taiwan
十月 2020 - Present
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.)
九月 2018 - 九月 2020
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.
十一月 2017 - 九月 2018
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%.
十二月 2016 - 十月 2017
Data mining in NHIRD database via SAS and R.
Analyze and predict the relationship between medication frequency and disease.
2013 - 2015
2009 - 2013
發照日期 九月 2015 · 永久有效
發照日期 五月 2015 · 永久有效