Data Scientist

I am a physicist transitioning into data science, with a strong foundation in scientific computing and quantitative analysis.

My academic background is in physics and astronomy, where I developed rigorous problem-solving skills and learned to work with complex datasets in research settings.

During my doctoral research at IATE (UNC, Argentina), I worked with N-body simulations and Gaia DR3 data, building analysis pipelines in Python to study stellar kinematics in the Magellanic System.

I have hands-on experience with data processing, statistical analysis, scientific visualization, and large-scale computational workflows.

I am especially interested in applying my research-driven mindset to data science roles, where I can contribute to data exploration, modeling, and insight generation.

I am motivated to continue growing beyond academia and to use my technical background to solve real-world problems with data.