About
Me.

I'm a graduate of Economics from Universitas Airlangga, building my career in the field of data analysis. I'm deeply passionate about turning data into insights — where analytical thinking meets practical problem-solving, both requiring a strong attention to detail.

I've always been curious about what drives outcomes — why certain trends happen, what influences decisions, and how data can reveal patterns that aren't immediately obvious. That curiosity led me to study economics, where I developed a strong analytical mindset and learned to approach problems through a data-driven lens.

Over time, I found myself drawn deeper into working with data — cleaning it, exploring it, and turning it into insights that actually matter. That's what led me to pursue a career in data analysis. My journey wasn't strictly linear, but each step helped shape how I think: structured, curious, and always looking for the story behind the numbers.

I believe that good data work is never really finished — there's always a better method, a cleaner pipeline, or a more compelling way to communicate findings. Right now I'm deepening my Python skills for more advanced data wrangling and exploring statistical modeling to go beyond descriptive analysis. I'm also working on improving how I present data visually, because the best insight means nothing if it isn't communicated clearly.

In the near term, I want to grow into a well-rounded data analyst who can handle the full pipeline — from raw, messy data all the way to clear, decision-ready insights. I'm especially interested in the intersection of data and social impact, where numbers can drive meaningful change in people's lives, not just business metrics.

Longer term, I aspire to take on roles that involve more complex analytical challenges — whether that means moving into data science, building my own analytical frameworks, or contributing to work that genuinely matters at scale. Whatever the path, I want to keep asking better questions and telling clearer stories with data.