Eduardo Mc Kesey Barrios

Experienced data professional with 5+ years of expertise in the Energy and Utilities industry, complemented by an MSc in Electrical Power and Control Engineering. Proficient in Data Analytics and Process Improvement, utilizing statistical methods and modern frameworks to optimize efficiencies and enable data-driven decision-making. Committed to innovation, problem-solving, and continuous learning to stay ahead in this dynamic field. Recognized for a collaborative approach, delivering measurable improvements and consistently exceeding stakeholder expectations.

• IBM Data Science Professional Certificate – IBM | Coursera
• Sports Performance Analytics Specialization – University of Michigan | Coursera
• Data for Business Pro Certification – Data Literacy Academy
• Data Literacy and AI Fundamentals – DataCamp
• Data Analyst in Power BI & Python – DataCamp
• Associate Data Scientist in Python – DataCamp
• Associate Data Engineer in SQL – DataCamp
• Project Management Foundations – EF Corporate Learning

• Led the design and implementation of an automated Sector Planner using Microsoft Planner and Power Automate, improving project tracking, governance, and workload management, resulting in an increased project win rate to 45%.
• Developed and deployed multiple Power BI dashboards, including a CHP temperature analysis tool for Heat Asset Managers, enabling faster O&M responses and reduced downtime through actionable insights.
• Created a Python notebook and Power BI dashboard to analyze employment and education data for UK Local Authorities, delivering insights to support renewable energy partnerships and Net-Zero strategies.
• Supported the development of a Python-based Smart Grid Optimization tool to integrate grid and renewable energy, deriving optimal techno-carbon-economic solutions for large, complex sites.