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jeffwongqy/README.md

Hi there, I'm Jeff πŸ‘‹

πŸŽ“ NUS Statistics Graduate | Data Science | AI/ML | MLOps | Cloud Computing | Agentic AI

I am a Statistics graduate from the National University of Singapore (NUS), specializing in Data Science, with a minor in Engineering Materials. My interests lie at the intersection of statistics, machine learning, artificial intelligence, and scientific applications.

I enjoy building practical AI/ML solutions that combine data-driven methods with domain knowledge, particularly in materials science, financial engineering, and language science.

πŸ”¬ Areas of Interest

  • πŸ€– Machine Learning & Artificial Intelligence
  • πŸ“Š Statistics & Data Science
  • πŸ—£οΈ NLP, LLMs & Language Science
  • ☁️ Cloud Computing & MLOps
  • πŸ”„ DevOps, CI/CD & ML Deployment

πŸ’Ό Industry & Project Experience

A*STAR β€” Materials Informatics | Jan 2024 – Aug 2024

  • Worked on machine learning and materials informatics applications for materials property prediction
  • Developed and evaluated ML models using Python and statistical techniques
  • Applied MLOps practices including Docker, GitHub and Jenkins
  • Developed a Streamlit-based application for ML model interaction and demonstration

BCA β€” Data Analytics & Machine Learning | May 2023 – Aug 2023

  • Worked on data analytics and machine learning applications using Python and SQL
  • Analyzed real-world datasets and developed data-driven solutions
  • Used data visualization and analytics tools to communicate insights

MOE β€” Software Testing / User Acceptance Testing

  • Performed black-box testing and User Acceptance Testing (UAT) for software applications
  • Designed and executed test cases based on functional requirements
  • Conducted regression, sanity, boundary-value, edge-case and end-to-end testing
  • Identified, documented and tracked defects to support software quality and system validation

πŸ› οΈ Technologies & Tools

Programming: Python Β· SQL Β· R

Machine Learning: Scikit-learn Β· XGBoost Β· TensorFlow Β· Keras Β· Pandas Β· NumPy

AI / LLM: LangChain Β· LangGraph Β· RAG Β· NLP Β· Generative AI

MLOps / DevOps: Docker Β· GitHub Β· Jenkins Β· CI/CD Β· CML

Cloud & Data: AWS Β· Power BI Β· Tableau

Applications: Streamlit Β· Git Β· Jupyter

πŸŽ“ Education & Professional Qualifications

  • B.Sc. (Hons) Statistics β€” National University of Singapore

    • Specialization in Data Science
    • Minor in Engineering Materials
  • Specialist Diploma in Business Analytics with Agentic AI - Republic Polytechnic (2028)

  • Specialist Diploma in Cloud Architecting & Management β€” Republic Polytechnic (2027)

  • Specialist Diploma in Business Analytics β€” Republic Polytechnic (2027)

  • Specialist Diploma in DevOps β€” Republic Polytechnic (2026)

  • Specialist Diploma in Applied Generative AI β€” Republic Polytechnic (2026)

  • Specialist Diploma in Vision & Language Analytics β€” Singapore Polytechnic (2023)

  • Specialist Diploma in Biomedical Informatics & Analytics β€” Republic Polytechnic (2022)

  • Specialist Diploma in Applied Artificial Intelligence β€” Republic Polytechnic (2021)

  • Specialist Diploma in Data Science (Predictive Analytics) β€” Singapore Polytechnic (2020)

  • Diploma with Merit in Nanotechnology & Materials Science β€” Nanyang Polytechnic (2017)

πŸš€ What I'm Currently Exploring

I'm particularly interested in developing AI/ML applications for scientific and technical domains, including engineering science and language science.

🀝 Collaboration

I am open to collaborating on Machine Learning, Deep Learning, and LLM projects, particularly projects involving scientific and interdisciplinary applications.

πŸ“§ Contact: jeffreywongqy@hotmail.com

I generally prefer developing lightweight and efficient models where appropriate, with an emphasis on computational efficiency, practical deployment, and sustainable AI.


πŸ“« Feel free to explore my repositories and projects.

⭐ If you find something useful, feel free to star a repository!

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    Config files for my GitHub profile.