After graduating in economics and a master's degree in Economic Consulting and Applied Analysis, I also completed a double master's degree in Big Data and Business Analytics.
Currently working as a Data Analyst in the Fintech sector.

Previously worked developing economic consulting reports with huge statistical component whose results have supported decision-making at government level, and also managing datalakes, ETL processes and developing dashboards enriched with predictive analytics.

I would highlight my analytical capacity and familiarity with many types of statistical procedures, from econometric models to everything inherent to Machine Learning, especially with regard to predictive and classification models. Likewise, I would highlight my ability to detect, analyze and exploit KPI's and key metrics in general.

I have worked mainly using Python and SQL, although I also have experience in R, various BI tools such as Metabase, Tableau or Amazon Quicksight, and in statistical software such as Stata, SPSS or Eviews. Similarly, I have some experience in Cloud programming, familiarizing myself with AWS.

I have produced research oriented to publication and congress, and I have collaborated in others handling the statistical part.