Aaron J Epel

Aaron J Epel

Raleigh, North Carolina, USA

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Experienced data scientist leading teams that solve sustainable energy challenges. I apply insights from machine learning, operations research, and continuous improvement to empower customers and drive results.

Employment

Technical Lead, Forecasting
Senior Data Scientist, Performance Engineering

Stem, Inc.

Oct. 2022 - Apr. 2025

  • Led scrum ceremonies for the Forecasting team, working with product stakeholders to translate strategic priorities into tactical work plans and ensure team productivity. Mentored data scientists on design, implementation, and task management skills.
  • Developed and maintained internal systems for forecasting energy market prices, behind-the-meter facility load, and solar generation. Designed machine learning solutions to detect and diagnose performance risks for battery energy storage systems.
  • Directed the Performance Engineering task force, which triages optimization, forecast, and controls-related production incidents. Introduced internal analytics tooling alongside best practices from Six Sigma background to improve response times, identify root causes, and prevent fault reoccurrence.

Senior Data Scientist

Enmass Energy

Sep. 2021 - Aug. 2022

  • Designed and implemented new revenue-generating analytics products at a fast-paced startup.
  • Created standard processes for database administration, ETL, and quality control.

Senior Data Scientist
Data Scientist

NextEra Energy

Jan. 2016 - Sep. 2021

  • Led solution development for FPL Power Delivery AI/ML and optimization projects, from project scoping to production deployment, to drive business value.
  • Coached Six Sigma belt candidates on data science and quality improvement skills.

Analytics Ossociate (Intern)

Opower

June - Sep. 2015

  • Analyzed and modeled propensity to contact electric utility customer service.

Analyst, Advanced Analytics

IHS Markit

Jan. 2012 - Feb. 2015

  • Developed predictive modeling solutions for diverse consulting client challenges using machine learning, econometrics, and applied statistics.

Education

University of Michigan, Ann Arbor

MS, Industrial & Operations Engineering

Aug. 2014 - Dec. 2015

Washington University in St. Louis

BA, Economics
BS Applied Science, Systems Engineering

Aug. 2007 - Dec. 2011

Techniques

Data Science

Operations Research

Continuous Improvement

Skills

General Software Development

Frequently Used Packages

Software Deployment and Cloud

Others