Junior Data Scientist

I’m a data professional with a strong analytical background and a real interest in turning data into clear insights, useful dashboards, and predictive solutions that support better decisions.

In my current role, I work with Python, SQL, and Power BI to analyze customer behavior, commercial performance, and risk patterns, combining business understanding with hands-on analytics and early-stage machine learning. I enjoy moving from exploration to action: identifying patterns, building models, and translating results into outputs that people can actually use.

My academic background in Geophysics taught me how to approach complex problems with structure, curiosity, and evidence. That mindset still shapes the way I work today across data analysis, business intelligence, and machine learning. I’m especially interested in predictive modeling, customer analytics, KPI tracking, and data storytelling.

I also bring experience in teaching and mentoring, which helped me strengthen something I value a lot: the ability to explain complex ideas in a clear, practical, and engaging way.

I’m motivated by collaborative environments where people are curious, thoughtful, and excited to keep learning.

If you’re working on data, analytics, machine learning, or business insights, and enjoy exchanging ideas with people who care about both technical depth and real-world impact, let’s connect.