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Kuo-Ching Chang

Kuo-Ching Chang

Data Scientist
South San Francisco, San Mateo

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About Kuo-Ching Chang:

I am Kuo-Ching Chang, a data scientist with a strong academic background of a PhD degree in applied mathematics and statistics. Also, I have over 10 years of hands-on experience in AI and data science from the industry.

Experience

International Games System, Taiwan (Feb. 2017 – Sep. 2022)

  • Position Title: Senior Director of AI Group (Sep. 2019 – Sep. 2022)
  • Position Title: Senior Director of Data Analytics (Feb. 2019 - Mar. 2019)
  • Position Title: Junior Director of Data Analytics (Feb. 2017 - Mar. 2019)
  1. Project:
    1. Prediction the Amount of Money When Player Bankrupt in Game (Collaboration: Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology – 2017)
    2. Using Player Interest Profile to Raise Average Revenue Per Paying User (Collaboration: Appier Incorporated  – 2018)
  2. Major task: Provide advanced statistical data analyses and machine learning skills, including coding program, user data preprocessing (Consumption data, Play data, User Profile), extracting user behavior features and so on. Building the systems of Customer Relationship Management and AI. 
  3. Minor task: Dealing with administration stuff, and running/managing the data analysis group.

Automotive Research & Testing Center, Taiwan (Mar. 2013 – Jan. 2017)

  • Position Title: Applied Sensor Program Coordinator (Aug. 2016 - Jan. 2017)
  • Position Title: Image Processing Engineer (Mar. 2013 – Aug. 2016)
     
  1. Project:
    1. Vehicle Vision-Based Object Detection and Tracking Technique(Collaboration: Department of Electrical Engineering, National Taiwan University - 2016)
    2. Pedestrian/Car detection with Sensor Fusion Research (Collaboration: Department of Electrical Engineering, National Taiwan University - 2015)
    3. Image Range Sensor Fusion Based Day Time Low Illuminated Pedestrian Detection System(Collaboration: Department of Electrical Engineering, National Taiwan University - 2014)
    4. Data Fusion Adopted Both LIDAR and Camera with Pedestrian Detection(Collaboration: The Robotics Institute, Carnegie Mellon University-2014)
  2. Major task: Provide advanced statistical data analyses and machine learning skills, including coding program, image data preprocessing, extracting image features and so on. Building the prototype of the system.
  3. Minor task: Dealing with administration stuff, and running/managing the algorithm group.

Institute of statistical science, Academia Sinica, Taiwan (Jul. 2011-Mar. 2013)

  • Position Title: Postdoctoral Fellow (Grace S. Shieh’s lab)
  1. Project:
    1. The optimal system for wafer yield analysis (Collaboration: Taiwan Semiconductor Manufacturing Company)
    2. Predicting genes relevant to survival time of colorectal cancer patients (Collaboration: Kaohsiung Medical University and Changhua Christian Hospital)
  2. Major task: Provide advanced statistical data analysis skills, including coding program, data interpretation, and reporting the final analysis.
  3. Minor task: Assist Prof. Shieh, including offering statistical insights/advice, dealing with administration stuff, and running/managing the research lab.

Education

  • Ph.D. in Applied Mathematics (2011)
    • National Chung-Hsing University, Taiwan
    • Dissertation: "A Fast Two-Stage Algorithm by Window Method for Estimating the Location of Change-Points".
  • M.A. in Applied Mathematics (2005)
    • National Chung-Hsing University, Taiwan
    • Dissertation: "Using the method of dynamic time warping and K-means to recognize isolated mandarin digits for speaker dependent system".

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