NURHAFIZAH IDAYU BINTI MOHD FARIDZ
B.Sc. Computational Data Analytics Student | Aspiring Data Analyst
Computational Data Analytics student with hands-on experience in data analytics, project leadership, stakeholder collaboration, and technology-driven projects.
Skills & Tools
- Python
- R & R Shiny
- SQL
- Power BIPower BI
- Data Analytics & VisualisationData Analytics & Visualisation
- Machine LearningMachine Learning
- MongoDB / NoSQL
- Statistical Analysis & ForecastingStatistical Analysis & Forecasting
- Leadership & Project ManagementLeadership & Project Management
- Stakeholder CollaborationStakeholder Collaboration
- Problem SolvingProblem Solving
- Cross-Cultural CommunicationCross-Cultural Communication
- mandarin languagemandarin language
About Me
I am a Bachelor of Science in Computational Data Analytics student at Universiti Tun Hussein Onn Malaysia (UTHM), passionate about transforming data into meaningful insights and practical solutions. I have developed hands-on experience in data analytics, statistical analysis, data visualisation, and technology-driven projects using tools such as Power BI, SQL, R, SAS Viya, and MongoDB.
Beyond academics, I actively lead and manage university programmes, collaborate with external organisations, and engage in community initiatives. I have been involved in 55 activities, worked with 27 collaborating agencies, and managed programmes involving RM26,135 in funds. My international mobility experience has also strengthened my cross-cultural communication, adaptability, and teamwork skills.
I am particularly interested in opportunities where I can combine data, technology, leadership, and problem-solving to create measurable impact while continuously developing as a future data professional.
Work Experience
2025 - 2026
International Camp Boarding Assistant
Raffles American School
• Supported the coordination and daily operations of an international camp involving students from diverse cultural backgrounds.
• Coordinated student registration, accommodation, schedules, activities, and on-site logistics to ensure smooth programme execution.
• Communicated with students, teachers, staff, and international participants to resolve enquiries and operational issues effectively.
• Monitored student welfare, attendance, and daily activities while maintaining a safe and organised environment.
• Demonstrated strong leadership, adaptability, teamwork, and cross-cultural communication in a fast-paced international setting.
Education
2018 - 2022
Science Stream
MRSM Gemencheh
2023-2024
Science Stream
Malacca Matriculation Collage
2024 - Present
Bachelor of Science (Computational Data Analytics) with Honors
Universiti Tun Hussein Onn Malaysia
Selected Work
Arduino Logic System
Developed an Arduino-based logic system to demonstrate fundamental digital logic concepts through hardware implementation. The project involved designing and implementing logic operations, integrating electronic components, and programming the Arduino to process inputs and generate corresponding outputs. This project strengthened practical skills in embedded systems, logical problem-solving, circuit design, and hardware-software integration.
VITAURA – Health Misinformation Checker
Developed VITAURA, a multilingual AI-powered Progressive Web App designed to help users verify health-related claims and understand the potential risks of misinformation. The system analyses claims and provides evidence-based verdicts, risk assessment, supporting sources, and corrective information in Malay, English, and Chinese. Built with an AI/RAG pipeline to retrieve relevant evidence and generate contextual responses, VITAURA demonstrates the application of artificial intelligence, information retrieval, and full-stack development to address a real-world public health challenge aligned with SDG 3: Good Health and Well-being.
Hospital Patient Queue Management System
Developed a web-based Hospital Patient Queue Management System designed to digitise patient queue management and improve operational efficiency. The system provides functionality for managing patient information, monitoring queue status, and organising patient flow, reducing reliance on manual processes. The project demonstrates skills in full-stack web development, database integration, UI/UX design, and developing technology-driven solutions for real-world healthcare environments.
Hidden Risks in Financial using R-shiny
Developed an interactive R Shiny dashboard to analyse and identify hidden risks in financial technology systems, with a focus on fraudulent transactions. The dashboard integrates exploratory data analysis, interactive visualisations, filtering capabilities, and machine learning models to identify fraud patterns and support risk assessment. Implemented Decision Tree and Deep Learning approaches alongside model comparison and summary reporting to provide data-driven insights into financial transaction risks.
Telco Customer Analysis Dashboard using SAS Viya
Conducted an exploratory data analysis of e-commerce customer data using SAS to identify key patterns, relationships, and factors influencing customer behaviour. Performed data exploration, visualisation, and statistical modelling to examine variables such as tenure, online security, technical support, internet service, payment methods, and customer risk levels. Transformed analytical findings into meaningful insights to support data-driven understanding of customer behaviour and potential business risks.