Yu-Sheng, Lin (リン)

Contact : [email protected]                                                              

Worked as the only machine learning engineer in the research department of Moldex3D.  I covered  the jobs in data science and completed many projects. Especially in 3D data analysis. Participated in many data competitions and accumulated cooperation experience when I was student. Currently, I am learning Japanese at a Japanese language school in Tokyo.

  Tokyo, Japan     


Education

2018 - 2021

National Chung Hsing University

Master's degree, Statistics

  • GPA 4.03/4.3
  • Cross-departmental research
  • Machine Learning
  • Deep Reinforcement Learning
  • Building experience filter in deep reinforcement learning for equity trading
  • Many scholarships
  • Won the data competition
  • Python, Tensorflow, R, MATLAB, C++

2014 - 2018

Chung Yuan Christian University

Bachelor's degree, Applied Mathematics

  • Rank 2/118、GPA 3.594 / 4.0
  • Took 3 different courses                    (Statistics, Computer Science, Big Data)
  • Data analysis skills
  • Dean's List
  • Discipline excellence award                              (Advanced Calculus,  Linear algebra)
  • Many scholarships
  • Participated in the data competitions
  • Python, R, SAS, C++, SQL, java, HTML, AWK

Work Experience

Machine Learning Engineer  •  Moldex3D

Dec 2021 - May 2023

As the only machine learning engineer, leading the research department projects.

Developed the company's CAE software functions with data science.

  • Developed a recommender system with 3D data similarity
  • Unlabeled 3D data classification system
  • Dealing with the gap between simulation and real experiments
  • Data-driven analysis flow
  • Image processing and design the quality index
  • Participate in multiple AI seminars



Competitions

Feb 2019 - Jun 2019

The Outstanding Application Award

2019 Chunghwa (Taiwan’s National Post Office) Big Data Competition

  • Used an One-class Classifier End-to-end GAN model to look for potential customers.
  • Found a suitable address for setting up  new e-postbox services with the anomaly detection method.

May 2017 - Jul 2017

Match Recommendation 6th place in prediction accuracy

2017 104 Corporation AWS Hackathon - Match Recommendation

  • Used web browsing records data to determine whether there is an application for work.
  • Recommended system with matching algorithm.
  • Had work experience using AWS.


Feb 2017 - Mar 2017

Personal full scores in preliminary rounds

SAS E.SUN Bank The 6th Big Data Data Scientist Competition - FinTech Predicting Future Challenge

  • SAS EG Data Analysis Competition.

May 2011 - Aug 2011

Certificate of Outstanding Performance

World Robot OLYMPIAD 2011

  • LEGO robot competition.
  • Had the experience of using the programming language in junior high school for the very first time. (C++)

Industry-University Cooperation Experience

Data scientist  •  AU Optronics Corporation

  • Optimized production experiment with reinforcement learning methods.
  • Proposed reasonable data collection methods and maintained the work progress of the group.
  • Coordinated with customers and decreased training costs under budget.

Oct 2019 - Oct 2020





Certifications

SAS Certified Base Programmer for SAS 9

SAS Institute Inc.

2017

SAS EG Certification verification

SAS Institute Inc.

2017


Skills


  • Data Science
  • Machine Learning
  • Statistics
  • Web crawler
  • Python
  • Tensorflow
  • R
  • SAS
  • C++
  • SQL
  • HTML

Languages


  • Chinese — Native Speaker
  • English — Conversant
  • Japanese — Studying in Japanese Language school