Computer Science Student
I am a Computer Science student interested in building data-driven and intelligent systems.
Through academic and independent projects, I have explored machine learning, deep learning, data analytics, and big data processing—from training classification models and analyzing business data to building distributed data pipelines.
I enjoy understanding the process behind a solution: preparing the data, experimenting with different approaches, evaluating the results, and turning the outcome into something useful.
Studi komparatif mengevaluasi Random Forest dan hybrid CNN-LSTM untuk deteksi URL phishing menggunakan dataset LegitPhish.
Sistem klasifikasi penyakit kulit berbasis Convolutional Neural Network (CNN) untuk 10 kategori kondisi kulit.
Integrasi model deteksi objek YOLO dan matriks jarak OSRM untuk optimasi jalur logistik berbasis web.
Pipeline pemrosesan data terdistribusi menggunakan Hadoop HDFS dan PySpark untuk dataset e-commerce Olist.
Analisis data ritel historis EuroMart mencakup eksplorasi tren penjualan, diskon, dan segmentasi pelanggan RFM.
Interested in discussing machine learning research, data pipelines, or software engineering? You can reach out via email or connect through professional networks.