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    Chung-Hau Liang

    Data Scientist with strong background in Machine Learning and Statistics

    Chung-Hau Liang is a Data Scientist and Full-Stack Developer currently working at Edmodo, based in San Francisco, California. His professional background includes significant experience in data science and software development.

    Professional Background

    • Current Position: Data Scientist and Full-Stack Developer at Edmodo.
    • Previous Experience: He has also worked as a Software Engineer at Organizer Inc., showcasing a diverse skill set in both data science and software engineering.1

    Education

    Chung-Hau Liang holds advanced degrees that bolster his expertise in data science:

    • He completed a Master's degree in Machine Learning and Data Science, which included coursework in predictive analytics, cloud engineering, and deep learning.
    • He also earned a Bachelor's degree in Statistics and Economics, emphasizing his strong analytical foundation.1

    Skills and Expertise

    Chung-Hau Liang's technical skills encompass:

    • Data Science: Proficient in predictive modeling, data mining, and machine learning.
    • Full-Stack Development: Experienced in both front-end and back-end technologies, enabling him to contribute to various aspects of software development projects.

    His combination of skills in data science and full-stack development positions him as a valuable asset in tech-driven environments like Edmodo.

    Highlights

    [PDF] The 28th Global Chinese Conference on Computers in ... - GCCCE2024
    [PDF] Turkish Online Journal of Educational Technology - eprints UAD

    Related Questions

    What projects has Chung-Hau Liang worked on at Edmodo?
    What skills does Chung-Hau Liang specialize in as a full-stack developer?
    How did Chung-Hau Liang transition from data science to full-stack development?
    What is Chung-Hau Liang's educational background?
    Has Chung-Hau Liang published any research papers or articles?
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    Experience

    Data Scientist Intern at H-E-B, June 2023 - August 2023; Data Scientist Intern at Refinitiv, April 2021 - July 2021; Data Analyst Intern at Minsheng Securities, July 2020 - October 2020; Risk Analyst Intern at DongXing Securities, June 2020 - August 2020

    Education

    M.S. in Machine Learning and Data Science at Northwestern University, 2022 - 2023, B.S. in Statistics and Economics at University of Wisconsin-Madison, 2018 - 2021, 4.00/4.00 GPA

    Location

    San Francisco Bay Area