Derek Dinsmoor
About Derek Dinsmoor
Derek Dinsmoor is a Data Scientist currently employed at E Source in Fort Collins, Colorado. He has a background in consulting and holds a Master of Arts in Agricultural and Applied Economics from the University of Wisconsin-Madison.
Work at E Source
Derek Dinsmoor has been employed at E Source as a Data Scientist since 2021. His role involves developing data-driven solutions to support clients in the energy sector. He focuses on creating algorithms that analyze advanced metering infrastructure data, particularly for detecting anomalies in electric vehicle charging and HVAC systems. His contributions include authoring production-level code that enhances the functionality of data science products utilized by clients.
Previous Experience at Guidehouse
Derek Dinsmoor worked at Guidehouse in two capacities. Initially, he served as a Consultant from 2017 to 2018 for one year in Boulder, Colorado. He then advanced to the position of Senior Consultant, where he worked from 2018 to 2020 for two years. During his tenure, he contributed to various projects that leveraged his expertise in data analysis and consulting.
Experience at TRC Companies, Inc.
Dinsmoor was employed at TRC Companies, Inc. as a Senior Consultant from 2020 to 2021 in Denver, Colorado. In this role, he applied his analytical skills to support projects related to energy and resource management. His experience at TRC Companies further solidified his expertise in data science and consulting within the energy sector.
Education and Expertise
Derek Dinsmoor earned a Master of Arts (M.A.) in Agricultural and Applied Economics with a focus on Resource and Energy Demand Analysis from the University of Wisconsin-Madison, studying from 2016 to 2017. Prior to this, he completed a Bachelor of Arts (B.A.) in Economics at the same institution from 2012 to 2016. His educational background provides a strong foundation for his work in data science and energy analysis.
Technical Contributions
Dinsmoor has made significant technical contributions in his field. He developed algorithms for detecting anomalies in electric vehicle charging and HVAC systems, utilizing advanced metering infrastructure data. Additionally, he has experience in forecasting and validating demand response impacts through predictive modeling techniques, demonstrating his proficiency in applying data science to real-world energy challenges.