// Data Science & AI Student
Computer Science student at Taylor's University specialising in Data Science and AI. I build ML models, analytics dashboards, and turn raw data into actionable insights.
I'm a final-year Computer Science student at Taylor's University, specialising in Data Science with an extension in Artificial Intelligence. I'm passionate about building models that solve real problems — from detecting bone fractures in X-rays to predicting loan defaults.
Beyond the models, I care about the full pipeline: clean data, meaningful insights, and dashboards that tell a story. My capstone project is a Visual Analytics Dashboard for Patient Pathway and Hospital Flow Management.
I'm actively seeking a full-time internship from April to August 2026 where I can contribute, learn fast, and make data-driven impact.
Built two text classification models on 53K+ mental health statements using Python, pandas, and scikit-learn. Compared Decision Tree vs Neural Network performance.
Performed sentiment analysis using a Bidirectional LSTM model on IMDB movie reviews in Google Colab. Binary classification of positive vs negative reviews.
Built data mining models on drug-death records. Applied Random Forest for classification, K-Means for seasonal clustering, and Isolation Forest to detect geographic outliers.
Developed ML models to analyse loan default risk on a financial dataset. Compared k-Nearest Neighbours against Decision Tree classifiers on key financial features.
Developed a Convolutional Neural Network (CNN) to automatically detect bone fractures in X-ray images. Trained on labelled radiography data with data augmentation techniques.
Built an IoT prototype using ESP32 and Raspberry Pi with sensors to automate plant watering and monitor moisture, temperature, humidity, and soil pH in real time.
Conducted EDA and preprocessing on the UCI Heart Disease dataset using Python and Scikit-learn. Developed a Logistic Regression model to predict heart disease risk.
Ongoing capstone project building a visual analytics dashboard for patient pathway and hospital flow management. Full EDA, predictive modelling, and interactive Tableau/Streamlit dashboards.
I'm actively looking for a data science internship from April to August 2026. If you're building something interesting with data or AI, I'd love to hear from you.
Based in Puchong, Selangor, Malaysia. Open to on-site roles in the Klang Valley or remote opportunities. Seeking roles in data science, ML engineering, analytics, or AI research.