Chloe Yian Chen

Chloe Yian Chen

Assistant Researcher

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location of Chloe Yian ChenSingapore

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  • Timeline

  • About me

    Data Science Intern at Danone | NUS Data Science and Analytics

  • Education

    • DTU - Technical University of Denmark

      2023 - 2023
      Student Exchange Program Computer Science
    • National University of Singapore

      2020 - 2024
      Undergraduate Data Processing and Data Processing Technology/Technician
  • Experience

    • A*STAR - Agency for Science, Technology and Research

      Apr 2018 - Feb 2019
      Assistant Researcher

      • Created a smart-material based support surface alleviates pressure around joints by 60% to alleviate pressure ulcer formation in bed-ridden patients• Computed feedback system in Arduino and designed breadboard circuitry on Fritzing• Achieved the Gold Award in the Singapore Science and Engineering Fair 2019

    • Inspire-Tech

      Feb 2020 - Jul 2020
      Business Analyst

      Inspire Tech, Business Analyst Intern Apr 2018 - Feb 2019• Investigated potential industry field to expand applications of company's file sharing technology and competed in IMDA Innovation Challenge• Managed maintenance and interface upgrade of software and refined customer's satisfaction level • Improved sales revenue utilizing Shopify with enhanced marketing material

    • Mathilda®

      May 2021 - Jul 2021
      Machine Learning Researcher (Intern)

      Research and experiment with the pipeline that allows the generation of potential fits for a job application

    • National University of Singapore

      Aug 2021 - May 2022
      Teaching Assistant

      Guide a dozen of students with no programing backgrounds in understanding themethodologies of coding

    • Health Promotion Board

      May 2022 - Aug 2022
      Data Analyst

      • Evaluate effectiveness of gamified health programs through 8,000,000 entries of app usage data and health kit biometrics data with pandas and Spark • Recommend area of improvement of program mechanism to enhance user experience and improve user retention for future programs

    • Grab

      Aug 2022 - Dec 2022
      Data Science Intern

      • Design and maintain pipeline to generate graph structured data to predict collusion and fraud in GrabFood and GrabMart• Design heuristic rules and generate statistical features for datapoints using GraphFrame and SQL• Achieved 80% precision in predicting frauds

    • TikTok

      Sept 2023 - Dec 2023
      Data Scientist

      - Designed and developed automatic root cause analysis product to search for sub-dimensional root cause across large scale dimension and dimensionalities - Conduct cross metrics analysis on the significance of correlation between internal and external safety metrics to set direction for trust and safety strategies- Data mining on aggregation risk factors to identify high risk signals

    • Danone

      Dec 2023 - now
      Data Scientist

      Enhanced computer vision model accuracy through advanced feature engineeringtechniques on Azure Databricks for infant length prediction• Developed a multi-stage model architecture, optimizing it with hyperparameter tuningwith Optuna, while seamlessly integrating with the existing data pipeline in an Agilework environment (Jira, Confluence documentation)

  • Licenses & Certifications