My journey with data began in the Mathematics Department of Institut Teknologi Sepuluh Nopember, where I learned to see the world through patterns, structures, and relationships. Mathematics trained me to think deeply and logically, but it also sparked a curiosity: What stories do numbers tell when they’re connected to real people, real decisions, and real business challenges?

That curiosity led me to the MBKM RevoU Bootcamp in Data Analytics and Software Engineering, where data transformed from something abstract into something alive — something that could be engineered, modeled, and converted into insights that move a business forward. It was the place where I realized that analytics is not just about computation, but about meaning.

Today, that path continues in the fintech industry. At Amartha, I work at the intersection of growth, risk, and product understanding — turning millions of data points into decisions that shape the agent network ecosystem. I build automated dashboards that scale across teams, diagnose fraud patterns, design KPIs and incentive schemes, create geospatial models to map underserved areas, and translate complex datasets into insights that guide strategy from the field to headquarters.

Across every project, one belief remains constant: data becomes meaningful only when it drives impact — when it reveals where growth is possible, where risks are emerging, and where opportunities are waiting to be unlocked.