Education Background

I hold a Bachelor’s degree in Computer Science from Petra Christian University, where I gained a strong foundation in various programming languages, including Python, JavaScript, and TypeScript. During my studies, I specialized in machine learning, particularly in Natural Language Processing (NLP), and developed a text classifier using Support Vector Machines (SVM) as my final project. Additionally, I honed my skills in web development through an internship as a Fullstack Developer, where I worked with React and Next.js for frontend development and MongoDB for backend systems. This hands-on experience not only deepened my technical expertise but also taught me the importance of collaboration and problem-solving in real-world software development projects.

Recent Project

Text Classifier Project

For my final project in computer science, I developed a text classifier using machine learning techniques to categorize text data. Leveraging Python, I utilized the Scikit-learn (sklearn) and Gensim libraries to preprocess the data, fine-tune the model, and achieve optimal results. The project involved comparing multiple algorithms, including Random Forest, Gaussian Naive Bayes, and K-Nearest Neighbors (KNN), to determine the most effective approach. After rigorous testing and evaluation, the Support Vector Machine (SVM) model outperformed the others, achieving an impressive accuracy of approximately 85%. This project not only deepened my understanding of Natural Language Processing (NLP) but also strengthened my skills in model optimization, hyperparameter tuning, and performance analysis.

Frontend Development Internship at PT. Asclar

During my internship at PT. Asclar, a software house based in Tangerang, Indonesia, I contributed to a project for a German insurance company. My primary responsibility was to develop a chatbot that streamlined the insurance claim process for users. The chatbot was designed to guide users through a conversational interface, helping them fill out claim forms seamlessly. Using React and Next.js, I built an intuitive and responsive frontend interface, ensuring a smooth user experience. Additionally, I collaborated with the backend team to integrate the chatbot with the necessary APIs and databases. This project taught me the importance of user-centric design, effective communication within a team, and the practical application of fullstack development in solving real-world problems.

My Interest

As for now, my interest is still on Fullstack or Machine Learning things. I want to combine my skills on Computer Science and Business related things to widen my opportunity. I really interested on Artificial Intelligence because it can help a lot of things and since it is still a new thing so the possibility is nearly endless.