JU-Yi YE 葉居易
3+ years of experience as a Data Scientist. Working with data analysis, machine learning, and data visualization in semiconductor or other technology fields.
E-mail: [email protected] Mobile: +886 922528072
Education
Skill
2016 - 2018
National Chiao Tung University
Master of Industrial Engineering and Management
Thesis: Constructing Multi-Classification Model for TFT-LCD
Data Analytics
Machine Learning
Data Visualization
Statistics
2011 - 2016
National Taipei University of Technology
Bachelor of Industrial Engineering and Management
Python, Pandas, Numpy
R
SQL
Work Experience
Data Scientist • ASUS
Sep 2018 - Present
Laptop Demand Forecast :
Use supply chain information, business sales behavior, and external information to develop feature engineering, construct sales forecasting models, predict weekly demand, and provide inventory warning information. Help the company save NTD 7 billion in inventory costs.
Employee Care System :
Collect employee attendance records and access control records, construct a variety of anomaly detection systems.
Big Data Intern • Micron
Jul 2017 - Aug 2017
Using R language to build algorithms to filter outlier data that may affect other variables due to time dependence, and find out event point.
The accuracy of this algorithm is as high as 94%, which can increase the accuracy of data analysis for the company and save 28% of the time for manual judgment.
Ewant Data Analyst • NCTU
Jul 2017 - Aug 2018
1. Using Python to construct an early warning model for predicting student performance in mid-semester.
2. Data analysis and automated report development.
Side Project
NBA Data Visualization
Dec 2020 - Present
Analyze interesting NBA statistics through data visualization on Instagram.nba_knowledge_plus
LinkedIn Data Crawler
Nov 2020 - Jan 2021
Collect student data on LinkedIn and build a career recommendation system. Help students see their future career development.
Cathay Big Data Competition 2nd Place
Sep 2017 - Jan 2018
Use insurance data to construct an insurance recommendation system and predict claims risk, the accuracy is higher than 93%.
Automated Optical Inspection
GigaByte
Jul 2016 - Jun 2018
Using Python OPENCV for image processing and decision tree algorithm development. Uses Machine Inspection to replace Manual Inspection, which could help the company on saving labor costs and improve the accuracy of detection.
