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Kevin Dai

Industrial Engineer specializes in Optimization, Statistics, Operations Research, Data Analytics, and Quality Control. Motivated, positive, and open-minded to challenges and feedback. I graduated with the Big Data Analysis training program from the Institute Information Industry in 2021/11, and I have trained in programming skills ( Python, R, Java, JavaScript, HTML, and CSS), machine learning, deep learning, being familiar with Ubuntu Linux system, and the Hadoop cluster.
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瑞健股份有限公司(SHL Group)
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University of South Florida
Taiwan, 桃園

Trình độ chuyên môn

  • Tình trạng hiện tại
    Thất nghiệp
  • Nghề nghiệp
    Big Data Engineer
  • Lĩnh vực
    Thiết bị y tế
  • Kinh nghiệm làm việc
    1-2 năm (1-2 năm liên quan)
  • Kinh nghiệm quản lý
    I've had experience in managing 5-10 nhân viên
  • Kỹ năng
    Manufacturing Processes
    Supply Chain Management
    Industrial Engineering
    Statistical Analysis
    Microsoft SQL Server
    Database Management
    Python
    R language
    Data Analysis
    teamwork
    analytical skills
    problem solving
    Hadoop
    hadoop ecosystem
    Hadoop and Spark
    Hadoop MapReduce
    Hive
    HDFS
    JAVA
    CSS
    HTML5
    JavaScript
    python
    Machine Learning with stats models and scikit-learn
    Deep Learning
    MySQL
    MATLAB
    Linux
    Ubuntu Linux
    VMware
  • Ngôn ngữ
    English
    Chuyên nghiệp
    Chinese
    Bản địa hoặc song ngữ
  • Trình độ học vấn cao nhất
    Master

Ưu tiên tìm kiếm việc làm

  • Hình thức làm việc mong muốn
    Full-time
    Quan tâm đến làm việc từ xa
  • Vị trí làm việc mong muốn
    大數據分析,資料科學家,資料工程師,AI工程師
  • Địa điểm làm việc mong muốn
    Taipei City, Taiwan
    Taoyuan City, Taiwan
    Hsinchu County, Taiwan
  • Freelance
    Không phải freelancer

Kinh nghiệm làm việc

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Quality Assurance Engineer

07/2020 - 05/2021
11 mos
Main Responsibilities • Conducted the product quality management for the medical auto-injectors for our customer Novartis Pharmaceutical Group to ensure that products comply with international quality specifications and customer requirements • Led / participate in project-related quality activities (e.g. design control, change control, product release) and provide quality consultation to the team • Led investigation, disposition, corrective and preventive action to generate Non-Conforming Material Report. • Present accumulated quality data to customers and management Identify trends of quality data with the usage of statistics and quality improvement tools such as MATLAB to prevent quality issues Skills & Qualifications • Knowledge of regulatory compliance: GMP (good manufacturing practice), QSR (quality system regulations), and ISO 13485 • Working knowledge of ERP (SAP) and MATLAB
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Student Intern of Data Analyst

09/2018 - 02/2019
6 mos
Main Responsibilities • Improved the patient satisfaction by researched the operation and facility • Collected, examined, cleaned, merged data by using R programming and Excel to conduct analysis • Provided admittance, processes, and new patients recommendations to improve patient satisfaction. • Presented it to stakeholder, my department, cooperative partners with positive respond Skills & Qualifications • Understood the medical industry operation and data acquisition process • Enhanced interview and teamwork through the patients survey and working with hospital employees • Applied R programming skill in the project
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Quality Control Engineer

10/2015 - 04/2016
7 mos
Main Responsibilities ‧ Monitored a team of quality inspectors to ensure manufacturing processes of Ceramic PCB meeting required standards. ‧ Assessed and simplified the QA process to enhance speed and accuracy ‧ Coordinate and report ‧ Conducted weekly training to improve and integrate the knowledge of inspectors ‧ Facilitated conflict resolution between workers to maintain an efficient, accurate and harmonious work environment Skills & Qualifications • Understood the manufacturing and inspection process of LED Ceramic PCB • Built great work ethics, communication, and leadership from management and conduct weekly training.

Học vấn

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Master of Science (MS)
Industrial Engineer
2018 - 2019
3.7/4 GPA
Mô tả
Machine Learning: Engineering Analytics | Predictive Analytics Database: Industrial Information Systems Statistic & Probability: Statistical Design Model | Probabilistic System Analysis
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Bachelor of Science (BS)
Bachelor of Industrial Engineering and System Management
2009 - 2014