With a degree in Economics and Management, a solid career as a manager, financial director, brand director and consultant in innovation projects, I found in Data Science the tool I needed to transform information into strategic action.

My journey in this area began with analyzing financial indicators in Power BI. The desire to go beyond dashboards led me to deepen my skills in databases, Python programming and machine learning, in a self-taught apprenticeship that quickly became a passion.

To consolidate this transition, I completed a postgraduate course in Data Science, with a final average of 19 points, and since then I've been developing my own projects focused on forecasting, exploratory analysis, automation with Selenium and interactive visualization.

I master tools such as Python, SQL and Power BI, and I use them to solve real problems, build data pipelines, create predictive models and communicate insights clearly - always with a focus on the organization's strategic objectives.

I believe that data science only makes sense when it has an impact. That's why I'm constantly trying to build bridges between technical analysis and business decision-making.

I'm ready to embrace new challenges as a Data Scientist, joining teams that value data-driven innovation and creating value from information.