My Journey from Physics to Data Analyst.

I started my academic path in Industrial Physics. Physics trained me to think critically, solve problems, and understand how complex systems work. It wasn’t just about formulas; it was about finding order in complexity and asking the right questions.

As I studied, I realized that the same curiosity that pushed me to understand physical phenomena could be applied to data. Physics taught me how to break down problems, work with numbers, and test ideas logically all skills that fit perfectly in the world of data analysis.

After graduation, I shifted my focus to data. I began learning tools like Python and SQL, and I discovered how rewarding it is to clean, explore, and visualize datasets. The transition felt natural: instead of studying physical systems, I was now studying business systems, customer behavior, and patterns in information.

What excites me most about being a data analyst is impact. Physics explained the world around me, but data analysis allows me to help organizations and individuals make better decisions today. Whether it’s identifying trends, optimizing processes, or telling stories through visualization, I see data as a bridge between numbers and real-life solutions.

My journey is still ongoing I am growing into data science and expanding my skills but the foundation remains the same: curiosity, problem-solving, and the drive to uncover insights.