Recorded production volumes in databases using SQL Server and Excel, ensuring 100% data accuracy for audits. Designed SQL queries to extract data based on interdepartmental requirements, reducing delivery times of strategic information by 40%. Led database updates and cleansing using SQL and Python scripts, eliminating inconsistencies and achieving 100% data integrity. Optimized reporting systems and Power BI dashboards, reducing processing times by 75% and enabling real-time strategic decision-making. Developed and analyzed hydrocarbon accounting balances using advanced Excel automation and Power BI, reducing manual data consolidation effort by 35%.

Led multidisciplinary teams (production, maintenance, and process control) applying Lean and Six Sigma methodologies, achieving an 18% reduction in operational costs and 22% improvement in production efficiency. Planned and analyzed well production tests, consolidating data in SQL Server and Excel, improving traceability and reducing reporting time by 40%. Designed and managed preventive and corrective maintenance projects supported by historical data and dashboards, ensuring 97% operational availability and reducing failures by 50%. Implemented Power BI dashboards for monitoring KPIs of production, energy efficiency, and deferred volumes, increasing visibility and enabling real-time decision-making. Developed the GasCriVel tool in Excel to estimate critical gas velocity and flow rate with less than 5% error, improving liquid loading diagnostics across 100% of producing gas wells.

Designed and updated curricula and instructional materials using Excel, PowerPoint, and Google Suite, increasing student satisfaction by 25% according to internal surveys. Supervised over 50 students in practical geology and physics projects, promoting critical thinking and technical problem-solving through collaborative digital tools. Implemented active learning methodologies (project-based learning and case studies), increasing class participation by 40% and improving knowledge retention by 30%.