Daniel Burillo

PhD, PE, innovative problem solver with over 12 years of broad cross-functional experience in management consulting, research, development, science, engineering, audit, program administration, and education. Independent thinker experienced in defining problems and formulating solutions in complex situations with little or no precedent. Experienced with divergent and incremental R&D, including artificial intelligence algorithms for forecasting. Solid technical communication skills. Strong interest in aligning technical innovation with investor/ business goals, customer/market factors, and regulatory/policy issues. Produces products that can be understood and used by professionals in all departments.
 

Major Companies: Sandia National Labs, California Energy Commission, PricewaterhouseCoopers, Honeywell

Highlights
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Created modular, scalable code and tools for: 
---> cleaning and filling messy meter data
---> aggregating meter data from multiple sources
---> demand forecasting at different geographic scales

PhD - Civil Engineering

MS - Civil Engineering

BS - Electrical Engineering

PE (electrical, California)

Several certificates for Python Programming