Christopher Biancaniello
Portfolio Performance Engineering @ENGIE
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WORK HISTORY
Portfolio Performance Engineering @ENGIE
Develop heuristic and AI/ML models for improving solar and wind plant performance and battery storage performance for over 700 distributed and utility scale sites across North America. Perform big data analysis to improve operations strategies such as analyzing day-ahead/real-time market pricing to improve trading strategies and presenting findings to upper management. Work with international teams in Europe to build and improve upon big data analysis tools managing the data collection for ENGIE renewable generation sites globally. Develop automation tools for processes such as site irradiance sensor data synthesis, wind turbine curtailment tagging, and monthly operating reports.
EDUCATION
Iceland School of Energy - Reykjavik University
Renewable Energy Development, Integration, and Engineering Accelerated Program ISE-01, Environmental Engineering Technology/Environmental Technology
Queen's University
Bachelor of Applied Science - BASc, Electrical and Electronics Engineering
SKILLS
ABOUT CHRISTOPHER BIANCANIELLO
13 years of being continually driven to surpass my work role\'s expectations: Managing and…
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