Ignacio Manavela

I am a fourth-year Data Science student at Universidad de Buenos Aires with strong proficiency in Python and predictive modeling using Scikit-learn. I combine rigorous training in linear algebra and quantitative methods with practical data-wrangling experience.

Throughout my studies I have focused on data cleaning, exploratory data analysis, and visualization using Pandas, NumPy and Seaborn to extract actionable insights. I prioritize producing accurate, reproducible results and clear communication of findings.

In my professional experience as an Administrative Assistant at private medical offices since August 2020, I developed meticulous attention to detail, managing complex schedules and maintaining sensitive records with complete accuracy and confidentiality.

I am committed to leveraging my analytical skills and technical toolkit to contribute to data-driven teams in high-performance environments, continuously learning and applying best practices in modeling and analysis.