Biography

I am a data scientist with expertise in machine learning, probabilistic modeling, and business intelligence. Currently, I am a Graduate Researcher at the ANU Biological Data Science Institute, where I utilize neural networks and stochastic differential equations to enhance crop-yield prediction models. My academic background includes a Master’s in Applied Data Analytics from ANU and a Bachelor’s in Computer Engineering from ITS, where I conducted research on emotion detection using BERT. With professional experience spanning business intelligence, data science, and research-driven projects, I have worked with organizations like Bukalapak, SeaMoney, and OVO, improving data infrastructure and analytics capabilities. I am passionate about probabilistic machine learning, deep generative models, and interactive visualization, aiming to develop AI-driven solutions that enhance decision-making. Additionally, I contribute to Towards Data Science and engage in community-driven initiatives, including leading data science workshops and mentoring students.