李忠憲 | Jason
Hi, I am Jason Lee. I graduated from National Central University with MS degree in Statistic. The major subject what I learn is quality control、Survival analysis、reliability, and I often analysis data with program language,such as: R、SQL.
Currently serving for Wistron, The main content of the work is MOH analysis、erect productivity、FPYR、IOS Power BI platform.
My personality is optimistic and active. Therefore, I believe that what I learn in school and TSMC will help me get this position in your company. I have confidence that I can have obvious contribution to your company.
+886 988 373965
Job application
工業工程師、智慧製造工程師
Educational background
National Central University, MS degree,
Graduate Institute of Statstics , 2017 ~ 2019
Field of research: Biostatistics、Industrial Statistics
Thesis topic： Predictive accuracy for right censored and interval censored data
(Thesis advisor：Yi-kuan Tseng)
Scholarship：國立中央大學小額捐贈獎學金 (108年) 、安心就學支持計畫生活助學金 (108年)、中央大學誠樸獎助學金 (107~108年)
GPA:3.5
National Changhua University of Education BS degree,
Department of Mathematics, 2013 ~ 2017
Major subject：Mathematical Statistics、Applied Statistics、Probability theory
Scholarship：彰化師範大學書卷獎 (得獎名次：3，102年)、弱勢助學計畫-生活助學金(102~106年)
GPA:3.7
Working Experience
Wistron, Business & Power BI engineer, May 2021 ~ now
1. Manufacturing overhead analysis.
2. Erect productivity、FPYR、IOS Power BI platform.
3. Arrange manpower & capacity.
4. Analyze productivity、FPYR with RPA system.
5. Import PCBA and FA automation project.
TSMC, Supervisor, Jan 2020 ~ May 2021
1. Manage department "Photo" shipment status and handle Wafer Quality issues.
2. Adjust the tool dispatch, improve tool efficiency.
3. Use SQL to develop report for on-line DL use.
In addition, develop communication and teamwork skills in planning capacity with PE and EE.
Math Teacher, Oct 2013 ~ May 2017
During university, I worked as a math teacher in Changhua and also teach many junior high school students to meet their goal.
Event experience
- 107 south statistics annual meeting
Assist Professor Yi-kuan Tseng to publish the paper: “Survival model based time-dependent ROC curves and predictive accuracy ".
Relevant Program & language skills
1.Program language：R
Paper Abstract
In practice, for event time data, if the study aim is predictive accuracy, then the concordance could be a criterion for model selection.
We
evaluate the performance of the proposed method through various simulation studies.
Furthermore, the new method and model selection based on concordance are applied
to several data sets.
Paper Contribution: AUC comparison with Cox and AFT model
We proposed semi-parametric and parametric AFT model based ROC for right censored data and derived the corresponding concordance. In practice, for event time data, if the study aim is predictive accuracy, then the concordance could be a criterion for model selection.
