Available for Internship
Muhammad Iqrim Rashdan
"Computer Science student specializing in Software Development with a focus on web systems and machine learning solutions."
"Computer Science student specializing in Software Development with a focus on web systems and machine learning solutions."
Based in Port Dickson, I am a final-year Bachelor of Computer Science (Software Development) student at Universiti Sultan Zainal Abidin (UniSZA) with a current CGPA of 3.48.
I have a strong passion for software development, web technologies, and solving real-world problems through technology. I am experienced in developing systems using Laravel, PHP, MySQL, and have knowledge in integrating Machine Learning algorithms such as Naive Bayes for data analysis and disease detection systems.
In addition to technical skills, I also possess experience in system troubleshooting, computer maintenance, and teamwork gained through my industrial training at TNB Power Generation. I am a fast learner, adaptable, and always eager to expand my knowledge and experience in the software development field.
Bachelor of Computer Science (Software Dev)
2023 - 2027 | CGPA: 3.48
Diploma in Information Technology
2020 - 2023 | CGPA: 3.60
TNB Power Generation Sdn Bhd | Jan 2023 – June 2023
Disease Prediction System
Symptom-based disease prediction system powered by the Naive Bayes Machine Learning algorithm. Designed to analyze patient symptoms and generate intelligent prediction results to support early health assessment and decision-making. The system features a fully integrated platform with dedicated interfaces for administrators, patients, and professional doctors, enabling efficient data management, patient monitoring, and medical report generation. Developed with a focus on usability, accuracy, and real-world healthcare application.
Hostel Booking System
Automated the traditional manual hostel reservation process to improve operational efficiency, reduce processing time, and enhance the overall booking experience for students. Developed with a user-friendly interface focused on seamless student data management, reservation tracking, and administrative handling. The system was designed to provide a more organized, efficient, and accessible accommodation management solution for both students and administrators.