I am into data science, AI and technologies that made AI possible at scale.
RESUMEPython, R, Microsoft Excel, Tableau, Power BI, SQL.
Scikit-learn, Statsmodels.
Angular, FastAPI, Docker, Kubernetes, Dash and Streamlit web apps.
CI/CD with Git, Azure Pipelines and GitHub Actions.
Comfortable working in an Agile environment and occasional Scrum Master.
Publishing research work as articles in journals.
Giving back to the dev community at GitHub and StackOverflow.
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.
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.
RPA workflow for customer churn prediction using machine learning models.
Demonstration of parallel and distributed computing with YOLO object detection.
Title: Intelligent optimization of hybrid renewable energy system using an improved flower pollination algorithm
Contributed to the documentation of the fastapi_msal open-source Python package.
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.
Helping out strangers on GitHub issues i.e. ipywidgets, facebookresearch and dash-core-components as well as on StackOverflow questions.