Federico Libertun

Built and maintained Power BI dashboards used daily by 30+ stakeholders and automated/migrated 4 manual Excel reports to Power BI, reducing report preparation time. Led a customer contact data quality initiative, improving data accuracy by 50%, and executed SQL queries in Redash to enhance datasets.

Delivered operational analytics and performance dashboards for healthcare operations, using Python and Excel to optimize operating room staffing and reduce resource waste. Improved clinic occupancy by 10% through inpatient request business rules and reduced unused scheduled time by 15% via process analysis and reporting.

Supported supply chain optimization through data analysis and reporting for inventory management, replenishment, and decision-making. Reduced stockouts by 35% in physical stores, improved product turnover by 25% via stock policies, enhanced traceability by reducing control errors by 40%, and negotiated 12% annual purchasing cost savings.

Served as a bridge between business and technology during ERP migration, documenting and prioritizing 80+ requirements to achieve 95% implementation accuracy with no technical deviations. Authored 40+ functional specifications and executed 100+ UATs with a 98% first-iteration approval rate, including automating mass data loads with DataLoad to cut input time by 50%, and performing SQL validation q

Master of Science in Data Science at Universidad de San Andrés from 2024 to 2025.

Bachelor of Industrial Engineering at Universidad Tecnológica Nacional from 2013 to 2023.