Subscribe e-Newsletter
    Member Login
    Our Trainers
    Email
    Pass
    Forget password? Click here
    Ong Shi Ke
    Ph.D. in Mechanical Engineering and Materials Science (Research: Physics-Based Neural Networks) | ACLP Certified | Adjunct Faculty/Lecturer | Adjunct Corporate Trainer | IBM Enterprise Design Thinking Practitioner | MOE Accredited


    Shi Ke is a technology trainer and STEM educator who bridges research and real-world application and is passionate about fostering engaging, supportive learning environments. With hands-on experience spanning micro-nano fabrication, 3D printing, and computational simulations, she brings strong technical grounding to every workshop she delivers.

    She designs learning experiences that make complex technology accessible — whether that is demystifying 3D printing or helping professionals automate their workflows with Python. Her teaching style is rooted in interactive activities, creative analogies, and real-world scenarios. She has trained over 100 adult learners in technology applications and data science—including mini-masterclasses for retail professionals (NTUC LearningHub) and WSQ Data Science Bootcamp participants at a major Accredited Training Organization— and draws directly on her own experience building standalone executable Python applications, having reduced manual processing time by over 50%, when teaching professionals to do the same.

    Core Competencies
    • 3D Printing (FDM & SLA) — Practical Application & Workflow
    • Python Programming for Workplace Automation
    • Curriculum Design & Instructional Delivery
    • Data Science & Simulation (MATLAB, ANSYS FLUENT)
    • CAD & Rapid Prototyping (Arduino, 3D printing)

    Certifications & Professional Qualifications
    • Advanced Certificate in Learning and Performance (ACLP)
    • IBM Certified Enterprise Design Thinking Practitioner
    • Ph.D. in Mechanical Engineering and Materials Science
    Training Topic(s)
    Privacy Policy  |  Terms of Use
    Copyright © 2026 CCISG Pte Ltd  |  ACRA Reg No: 201207591D  |  GST Reg No: 201207591D