Available to hire
I am a passionate Data Science student with a strong academic record and hands-on experience in data analysis and project development. I am highly motivated to apply my programming and analytical skills to real-world challenges.
Experience Level
Language
English
Advanced
Malay
Advanced
Chinese
Advanced
German
Beginner
French
Beginner
Work Experience
Business Analyst Intern at Cyber Village Sdn. Bhd.
July 1, 2025 - September 30, 2025Gathered and analyzed client business requirements for the Secure Personal Financing release through workshops and stakeholder discussions, ensuring alignment on proposed solutions. Prepared mock screens, functional specifications docs, and process flow diagrams to support application submission, background check, and onboarding processes.
AI-Enhanced Financial/Business Analytics
January 1, 2026 - PresentPerformed exploratory data analysis (EDA) and integrated a quantized Mistral-7B small language model (SLM) for EDA interpretation and analysis. Built and evaluated a logistic regression model for credit default prediction, achieving 91% accuracy and ROC-AUC 0.96 through feature engineering and model tuning.
Energy Supply & Insurance Risk Analysis
October 1, 2025 - PresentBuilt and compared efficiency ratios across power plants and identified top performers and underperformers, analyzing key operational and performance metrics. Developed an interactive dashboard integrating operational and financial KPIs to assess risk in energy supply, efficiency ranking, regional disparities, and sustainability factors.
Employment Trends and Productivity Forecasts in Malaysia
September 1, 2025 - PresentConducted sector-level employment trend forecasting using SARIMA, ARIMA, Prophet and XGBoost models with a 12-month hold-out, achieving 0.74% median MAPE with SARIMA as the best performer.
Lightweight Radiology Visual Question Answering (Radiology Domain) at Personal Project
January 1, 2026 - PresentEngineered a dual-head multimodal deep learning system combining MobileNetV3 and DistilBERT to answer clinical questions about radiologic images, achieving 69.4% accuracy with 1.9x parameter reduction (70M vs 134M) and 1.04x faster inference while maintaining 93% of baseline performance on the VQA-RAD dataset. Implemented a medical-safe data augmentation pipeline and answer normalization framework, then deployed a production-ready Streamlit web application enabling real-time inference (< 20 ms) for 2,248 Q&A pairs.
Education
Bachelor of Computer Science (Data Science) at Universiti Malaysia
October 1, 2023 - January 16, 2026Qualifications
Industry Experience
Computers & Electronics, Financial Services, Energy & Utilities, Professional Services, Software & Internet
Experience Level
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