Passionate about AI, data science, and building meaningful, human-centered technology.
🎓 Final-year Computer Science (Artificial Intelligence) student at Multimedia University (MMU)
🧠 AI and Research Intern at IPS, MMU — focused on AI-driven medical research and Parkinson’s Disease detection
💡 Yayasan Telekom Malaysia (TM) Scholar
📍 Based in Selangor, Malaysia
- Developing my personal AI & portfolio website using React and Vite
- Exploring machine learning interpretability for healthcare data
- Preparing for the Google Cloud Machine Learning Engineer certification
- Google Cloud for data & AI workflows
- Power BI for data visualization
- Model evaluation, bias & fairness in ML systems
- React.js and TailwindCSS for frontend development
| Project | Description | Stack |
|---|---|---|
| Parkinson’s Disease Detection | Deep learning gait analysis using time-series data for early Parkinson’s detection | Python, TensorFlow |
| Customer Churn & Monthly Spend Prediction | Predicts customer churn and monthly spending using classification and regression ML models | Python, scikit-learn, Gradio |
| Malaysia Car Price Prediction | Predicts car resale prices in Malaysia with real-world data, deployed via Gradio on Hugging Face | Python, Pandas, scikit-learn, Gradio |
| Stock Analysis Website | Stock analysis website with TradingView charts and real-time Twelve Data API integration | HTML, CSS, JavaScript, API |
| Category | Tools & Techniques |
|---|---|
| Programming | Assembly Language, Python, Java, C++, HTML, CSS, JavaScript, LISP, SQL |
| Data Science | pandas, NumPy, scikit-learn, XGBoost, TensorFlow |
| Modeling | Random Forest, Logistic Regression, GridSearchCV, MLPClassifier, LSTM |
| Web Development | React.js, TailwindCSS, Vite, Twelve Data API |
| Data Processing | Imputation, outlier detection, encoding, scaling, feature selection |
| Visualization | Matplotlib, Seaborn |
| Workflow | GitHub, Jupyter Notebook, Markdown, technical documentation |
| Research Interests | AI for healthcare & education, interpretability, fairness, reproducible pipelines |
- Google Cloud Certificate Professional Machine Learning Engineer (in progress)
- Google Cloud Certificate Associate Data Practitioner
- Kaggle Contributor - Data Cleaning, EDA & ML Projects
💬 “Still learning, still curious, still coding.”