Conducted comprehensive analysis of operational, financial, and inventory data for the Sorting and Recovery Stations of CORECUPERABLES E.S.P. and CORPOAMBIENTAL E.S.P. Developed interactive Power BI dashboards to monitor KPIs and trends. Implemented predictive machine learning models in Python (Scikit-learn, Prophet) using regression and time series analysis to forecast material tonnage, increasing monthly material revenue by 8%. Engineered a geospatial data pipeline by extracting data from ArcGIS, processing it with Python, and integrating it into SQL databases. Automated regulatory reporting for the Superintendency of Public Services by developing VBA (Excel) solutions, reducing reporting time by 76%.

Developed and maintained a suite of Power BI dashboards by integrating data from multiple sources to track and visualize KPIs for Operational Excellence, covering Claro Home Operations, Claro External Plant Maintenance, and Project Management. Designed and updated a daily Power BI dashboard to optimize inventory management, enhancing tracking accuracy and logistical efficiency. Eliminated departmental dependency on the quality team for reporting by enabling self-service analytics, empowering over 50 users with real-time access to data, reducing data requests by 70%.