Kevala
Brent Vastola-Lunghino is a seasoned data scientist with extensive experience in data analysis and modeling across various sectors, including renewable energy, climate science, and coastal engineering. Currently serving as a Senior Data Scientist and Manager of Data Science at Kevala since June 2020, Brent has held multiple leadership roles, demonstrating expertise in data-driven product development. Previous positions include Data Systems and Analytics Associate at Enel X and Data Scientist at ClimateAI, where Brent focused on forecasting river flow variability for hydropower plants. Academic credentials include a Master’s Degree in Computational and Mathematical Engineering from Stanford University and a B.S. in Geological Sciences from Brown University. Additional experience encompasses research roles at Stanford University and the U.S. Geological Survey, along with software engineering and internship positions that emphasize a strong foundation in environmental data analysis and computational modeling.
Kevala
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Kevala provides data-driven insights for an evolving energy market by combining proprietary analytics with advanced grid mapping. We help new entrants target the best locations for distributed assets and provide decision support for utilities and policymakers managing a complex energy ecosystem. Users subscribing to our platform can explore, explain and discover impacts of all types of clean energy investments. We are unlocking the grid on a foundation of hard-to-get local electrical distribution data, demographic and building characteristics, environmental indicators and more. Kevala is the default decision engine for the energy+ economy in the United States.