My Journey
From Finance to Data Analytics
I didn't decide to become a data analyst overnight. It happened through 10 years of working closely with numbers — watching how one right insight could recover thousands of dollars or completely change the direction of a decision.
In every role I held, I kept asking: what does the data actually say? Not just the summary — but the patterns underneath. That curiosity is what led me here.
Today I'm layering Power BI, SQL, and Python onto a career built in financial operations. My goal: bridge both worlds — bringing the business context data analysts often miss, and the analytical precision operations professionals rarely develop.
This is not a career change. It's a career evolution.