Analyzed over 100,000 student test score rows from ICFES data using Excel, SQL and Power BI, increasing the overall ICFES score by approximately 10% in four years{*** } Analyzed more than 1,000,000 rows of data corresponding to demographic and satisfaction surveys, performing the entire ETL process (Python), data modeling (BigQuery-SQL) and creating dashboards in search of insights to improvement and optimization

Machine learning (linear regression and clusters) was used to predict and describe infant mortality in the 21st century according to economic and social variables.