Managed data extraction, transformation, and administration from various databases. Designed data integration processes using KNIME, Python, Java, and C/C++. Developed analytics, BI dashboards in Power BI, and web apps for automation.

Achieved a 45% reduction in data access and processing times by optimizing database architecture and SQL queries. Led automation initiatives impacting 50+ employees, increasing productivity by up to 30%.

Analyzed industrial data, developed solutions in Python, SQL, Flask, PyQt, Power BI. Built and monitored energy KPIs, implemented predictive models, integrated industrial protocols, and supported energy efficiency projects.

Developed ML predictive models to identify energy efficiency opportunities, contributing to audit contracts and identifying up to 15% energy savings without capital investment.

Specialist in data analysis for energy efficiency and equipment reliability. Integrated industrial networks, programmed in Java, JavaScript, C++, Python, HTML, and managed MySQL databases.

Led design and implementation of software for industrial digitalization, centralizing data and reducing collection/analysis times by up to 20% in Industry 4.0 projects.