Hello world!

I'm YUEN HERN

SOFTWARE DEVELOPER, DATA SCIENTIST / ANALYST, AI / ML ENGINEER, TECHNICAL PROJECT MANAGER

I am into data science, AI and technologies that enable us to have a better life.

RESUME

WHAT I DO

  • Data Science & Analytics

    Python, R, Microsoft Excel, Tableau, Power BI, SQL.

  • Machine Learning

    Scikit-learn, Statsmodels.

  • Software Development

    Angular, FastAPI, Docker, Kubernetes, Dash and Streamlit web apps.

  • DevOps

    CI/CD with Git, Azure Pipelines and GitHub Actions.

  • Agile Project Management

    Comfortable working in an Agile environment and occasional Scrum Master.

  • Research Publication

    Publishing research work as articles in journals.

  • Open Source Contribution

    Giving back to the dev community at GitHub and StackOverflow.

ABOUT ME

FULL STACK SOFTWARE ENGINEER & DATA SCIENTIST

Currently a full stack software engineer at Ørsted, where I actively research and develop numerical models for design of high voltage cables at offshore wind farms, then deploy them as applications and software products.

Completed Master of Data Science at University of Malaya to gain deeper understanding on Data Science methods.

Originally trained as a mechanical engineer, I designed and fabricated competition robots for ROBOCON Malaysia 2018 and 2019.

Occasionally, I consult and train teams to apply data science, contribute to open-source projects on GitHub and answer questions on StackOverflow.

I am also the first author of a recently published research article titled “Intelligent optimization of a hybrid renewable energy system using an improved flower pollination algorithm” in the International Journal of Environmental Science and Technology.

  • Python Software Development 90% 90%
  • Data Analysis and Preprocessing 85% 85%
  • DevOps and CI/CD 85% 85%
  • Kubernetes 70% 70%
  • Machine Learning Knowledge and Frameworks 70% 70%
  • Angular Frontend Development 60% 60%
  • Agile Scrum 80% 80%
  • Project Management 85% 85%
  • Translating business requirements into data science questions 85% 85%

PORTFOLIO

  • KL House Price Forecasting web app

    KL House Price Forecasting Web App

    (Master's Final Year Project)

    Links: GitHub | Web App

    A web app to forecast the price per square feet of residential houses in Kuala Lumpur.

  • Customer Churn Hyperautomation dashboard

    Customer Churn Hyperautomation

    Link: GitHub

    RPA workflow for customer churn prediction using machine learning models.

  • Data science and STEM salary analysis chart

    Data Science & STEM Salary Analysis from Levelsfyi

    (Master's Coursework)

    Links: GitHub | Data

    Analyzed data science and STEM salaries obtained from Levelsfyi.

  • Parallel and distributed computing with YOLO object detection

    Parallel and distributed computing with YOLO

    (Master's Coursework)

    Link: GitHub

    Demonstration of parallel and distributed computing with YOLO object detection.

  • Research article on hybrid renewable energy optimisation

    Research article published

    Link: Research Article

    Title: Intelligent optimization of hybrid renewable energy system using an improved flower pollination algorithm

  • Open-source contribution to fastapi_msal documentation

    Open-source Contributor

    Link: GitHub

    Contributed to the documentation of the fastapi_msal open-source Python package.

  • Traffic monitoring analytics dashboard

    Traffic Monitoring Dashboard

    Developed and deployed a Python-based traffic analytics dashboard for a client.

    Implemented chained callback logic, Docker deployment to Heroku, investigated bugs and wrote docstrings and documentations.

  • Football analytics of EPL players

    Football Analytics: The Lookout for EPL Wonderkids

    Links: Medium | Tableau | GitHub

    Analyzed English Premier League players' data to help scouts find high potential football talent.

CONTACT ME