I am a student with a strong passion in artificial intelligence and data science. I love turning ideas into reality! Through my projects, I have built a solid foundation in machine learning, data analysis, and programming. I am always eager to learn new technologies and apply them to solve real-world problems. With a keen eye for detail and a commitment to excellence, I strive to create innovative solutions that make a positive impact.
Distinction Award
Finalist
Finalist
Semi-finalist
Gold Award
Gold Award
Silver Award
Semi-finalist
Engaged in a weekly initiative to teach and serve underprivileged children across Jakarta and Tangerang organized by Yayasan UNEDO Berguru Kasih, a nonprofit organization. At times, I became a Masters of Ceremony to greet the children and taught science-related subjects to over 20 children every weekend.
Wrote engaging STEM, specifically Mathematics, Physics, and Technology, content that had been posted on EcosySTEM's official instagram account (@ecosystem_org).
Taught basic Python programming to individuals ages 12-20 for two weeks, and was involved in the making of the teaching materials.
Chosen as the leader of the Technology Committee to lead members of the division, overseeing and creating tasks related to the technology committee initiatives.
Using python, I created a machine learning model to recognize handwritten digits from scikit-learn's datasets. I learned to preprocess data, train models using multiclass logistic regression, and evaluate their performance through confusion matrix.
GitHub
Using machine learning's logistic regression algorithm, I developed a model to predict students' university major choices based on their interests, activities, and influences. This project was initially made with the intention of knowing whether students' backgrounds and preferences effect their decision towards university majors.
GitHub
Using machine learning's linear regression algorithm, I developed a model to predict students' scores based on their study hours and absence days. This project aimed to identify key factors that influence academic performance and provide insights for improvement.
GitHub
Placing 6th out of 27 teams, my teammate and I created this case solution to compete in a yearly competition called CompFest, held by the University of Indonesia in 2024. The challenge involved optimizing the supply chain of a coffee company, KopiCompFest. We proposed CompFoods-X, an AI-powered system that optimizes delivery time, product distribution, and future business strategy.
PDF File (Indonesian ver.)
Also for CompFest, this time in 2025, my teammate and I developed a comprehensive business analytics strategy for KopiCompFest, placing 7th out of 22 teams. Our approach focused on leveraging data-driven insights to enhance operational efficiency, optimize resource allocation, and improve overall business performance.
PPTX File (Indonesian ver.)
In this project, my teammate and I explored the synthesis of zinc oxide (ZnO) nanoparticles using tea leaf extract as a green reductant. The synthesized nanoparticles were characterized using various techniques, and their antibacterial properties against Staphylococcus aureus bacteria on cotton fabric were evaluated.
PDF File (Indonesian ver.)