Kai Xuan Foo

• Built and compared Logistic Regression, KNN, and Random Forest models to predict heart disease, achieving up to 85% prediction accuracy
• Performed data preprocessing and split data into training, validation, and test sets using Python
• Evaluated models using metrics such as accuracy, precision, and recall to select the best predictor

Volunteer Tutor – Myanmar Refugee Community Learning Centre

• Tutored 15+ refugee children in academic subjects weekly
• Helped students improve understanding of lessons and complete exercises
• Supported children’s learning and confidence

Volunteer – Food Distribution Programme

• Assisted in distributing food to over 100 underprivileged families
• Helped organise and manage resources efficiently
• Worked with a team of volunteers to support the community

Social Relations Member

• Led a social event connecting 50+ students from diverse backgrounds
• Organised social activities and sports carnivals, engaging over 100 students
• Communicated with performers and 20+ event crew members for large annual college‑university events
• Collaborated with team members to plan and run events efficiently