Yinyinn Ngiam

Yinyinn Ngiam

Service Crew

Followers of Yinyinn Ngiam238 followers
location of Yinyinn NgiamSingapore, Singapore

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  • Timeline

  • About me

    --Data Scientist

  • Education

    • Singapore Polytechnic

      2021 - 2024
      Diploma of Applied Ai and Analytics Computer Science
  • Experience

    • Playmade

      Nov 2020 - Apr 2021
      Service Crew

      In this role, I develop my customer service skills while learning the intricacies of preparing bubble tea and managing food and beverage operations. This experience enhances my ability to work effectively in fast-paced environments.

    • SATS Ltd.

      Mar 2023 - Aug 2023
      Data Analyst

      During my internship at SATS, I engaged in a diverse array of projects designed to enhance business intelligence and operational efficiency:-- Developed Robotic Process Automation (RPA) scripts for efficient web scraping, automating data collection and streamlining workflows.-- Created interactive dashboards and reports using Power BI to provide actionable insights and enhance decision-making processes.-- Applied statistical modeling techniques to analyze large datasets, identifying trends and informing strategic initiatives.-- Contributed to the development of computer vision algorithms for optimizing cargo handling processes.-- Engineered optimization models to improve resource allocation and operational performance.This role provided invaluable experience in applying AI within a corporate setting, significantly enhancing my skill set with practical knowledge not covered in traditional academic programs. Show less

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

      Oct 2023 - Feb 2024
      Web Developer
    • SATS Ltd.

      Apr 2024 - Aug 2024
      Data Scientist

      As a Data Scientist specializing in Computer Vision at SATS, I lead a transformative project focused on enhancing operational efficiency at the airfreight terminal. My core responsibilities include:- Developing and deploying advanced object detection algorithms tailored for real-time cargo management.- Collaborating closely with cross-functional teams to integrate computer vision technologies into existing logistics frameworks, ensuring seamless adoption and operational continuity.- Conducting rigorous data analysis to continually refine models and adapt to dynamic logistic environments Show less

  • Licenses & Certifications