About
A highly motivated Informatics student at Telkom University with front-end web development experience and a strong interest in Machine Learning. Proficient in Python and data science libraries (Matplotlib, Pandas, NumPy, Scikit-learn, Seaborn). Completed relevant coursework and a deep learning project for skin disease classification (89.12% validation accuracy). Eager to apply my skills to Machine Learning roles.
Work Experience
FAB Digital part of PT Telkom IndonesiaInternship
Frontend Web Developer
PELOSAFreelance
Frontend Web Developer
Education
Telkom University
Skills
Projects
Improving Skin Disease Classification with EfficientNetB0
Developed a deep learning model for skin disease classification using EfficientNetB0.
Web Clipboard App
A personal web clipboard solution for bridging the gap between iPhone and Windows ecosystems.
TasbhMate - Digital Prayer Counter
Developed a responsive digital prayer counter web application with a modern UI using Next.js and React. Features include multiple input methods, dark/light mode, and local storage persistence.
Media Control Hand Gesture Using OpenCV and MediaPipe
Gesture-controlled media app using OpenCV, to fulfill the assignment for the Computer Vision course.
Face Detection with Haar Cascade Expertise
Face recognition with Haar Cascades to learn about the Digital Image Processing course.
Social Network Analyst with Python and NetworkX Expertise
Analyzing social networks with Python, to fulfill the assignment for the Social Network Analysis course.