Erik Sandstrom
About Erik Sandstrom
Erik Sandstrom is a Senior Data Scientist at Clarkston Consulting with a diverse background in data science, engineering, and public policy.
Current Role at Clarkston Consulting
Erik Sandstrom is currently a Senior Data Scientist at Clarkston Consulting, a position he has held since 2023. In this role, he focuses on leveraging machine learning models and AI applications to optimize business decisions. His expertise in data analytics allows him to provide valuable insights that drive strategic decision-making for the company.
Previous Roles and Experience
Before becoming a Senior Data Scientist, Erik worked as a Data Scientist at Clarkston Consulting from 2022 to 2023. Prior to that, he served as a Western Territory Representative at Majestic Painting Company Inc. in Aurora, Colorado, from 2020 to 2021. His other roles have included Engineering Technician at Meagher Energy Advisors from 2017 to 2019 and Government and Community Relations Manager as an Independent Contractor from 2014 to 2017.
Education and Training
Erik Sandstrom holds a Master of Arts in Economics from George Mason University, which he earned in 2022. Additionally, he completed a Data Analytics program at the University of Denver from 2020 to 2021. Erik also has a Bachelor of Science in Economics and Philosophy from Texas Christian University, earned in 2010. He further enhanced his skills by completing a Data Analytics Bootcamp at the University of Denver.
Skills and Technical Proficiency
Erik has demonstrated proficiency in using TIBCO Spotfire, Python, and R for data extraction, cleaning, and visualization. His ability to create models for forecasting future production in the oil and gas industry is a testament to his technical skills. He also has experience managing large-scale community engagement projects and possesses a strong background in both data science and public policy.
Personal Interests
In his free time, Erik Sandstrom enjoys running trails, backpacking, and mountaineering in the Colorado mountains. His passion extends beyond his professional life, as he is deeply interested in both the art and science of data. This dedication to data excellence aids him in creating effective machine learning models and AI applications.