at the University of Padova, where Galileo once studied and taught
my new hair with dandelions when it spring in Padova, Italy.
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💌 Mail me!
🦋 bsky
I grew up in Garut, a small city in West Java, with a childhood dream of becoming an astrophysicist. Today I'm chasing that dream as a Master's student in Astrophysics and Cosmology at the University of Padova, on an LPDP scholarship from the Indonesian government, working with observational astrophysics and cosmology, and the kind of large, messy datasets that ask you to be patient with them.
But somewhere along the way, I realized the questions I love most aren't only about the universe, they're about us. How do communities form? Where does inequality hide in the numbers? Whose stories get counted, and whose get rounded down? So I started bringing the same tools I use to study black hole—with Python, statistics, and machine learning—to questions about social trends, gender, and digital communities.
I think of myself as an astrophysics-trained data scientist working at the intersection of data, society, and digital communities. I've worked across research labs, government projects, and startups, and what ties it all together is a belief that good data work is, at its heart, a translation job: turning noisy, real-world signals into something a person can actually hold, question, and act on.
I care about doing this responsibly; because every dataset is ultimately about the people behind the numbers, and the decisions we make with them shape the products we build, the movements we grow, and the futures we leave room for.
because every dataset is ultimately about the people behind the numbers.
I care about reproducible, well-documented work and sound methodology.
Good analysis should make decisions easier, not more confusing.
I’m drawn to projects that improve access, equity, or understanding.
I treat my career as a long-term learning journey.
This section highlights selected projects that represent how I think, work, and collaborate as a data scientist. Each case study focuses on real-world problems, the decisions behind my approach, and what I learned along the way.