I answer business questions with data.

I don't enjoy numbers for their own sake — I enjoy the business story hidden behind them. Why did revenue change? Why are customers behaving this way? Where is the opportunity, and what decision comes next? Accounting records what happened; data analytics explains why it happened and what should happen next. That distinction is why I chose this field.

Software engineers build systems. AI engineers build intelligence. Product managers make decisions. Data analysts provide the evidence that helps all of them. That's the seat I chose, because it matches how I naturally think.

The proof came early. With almost no practical software experience, I led a 10-person graduation project — learned exactly what was needed, organized the team, built the Android app, and delivered it with distinction. Later I moved to the UAE: new language, new culture, new workplace. I adapted, earned the company's trust, and became someone colleagues depend on — the same way I approach every dataset: verify, understand, clean, then act.

If everything disappeared tomorrow, one thing would still be true: I know how to learn.