Matthew Bernhards
About Matthew Bernhards
Matthew Bernhards is a Junior Data Scientist with experience in data analytics and geospatial analysis. He has worked at ECS since 2020 and previously held positions at Affinity Management, MassMutual Capitol District, and CGI.
Work at ECS
Matthew Bernhards has been employed at ECS as a Junior Data Scientist since 2020. In this role, he focuses on utilizing Python and PySpark to transform, clean, and format datasets within the data pipeline. He also analyzes geospatial data to identify trends and create visualizations, contributing to data-driven decision-making processes. His responsibilities include executing Linux terminal commands to manage data movement and run download scripts, ensuring efficient data handling and processing.
Previous Experience
Prior to his current position at ECS, Matthew Bernhards held several roles in the data and analytics field. He worked as a Consulting Intern at Affinity Management for seven months in 2018 to 2019, where he gained experience in data analysis. He also served as a Business Systems Analyst at CGI for one year from 2019 to 2020, and as a Sales Intern at MassMutual Capitol District for two months in 2018. These roles provided him with a solid foundation in data management and analysis.
Education and Expertise
Matthew Bernhards earned a Master of Science in Data Analytics Engineering from George Mason University, completing his studies from 2020 to 2022. He also holds a Bachelor of Arts in Economics from the University of Virginia, where he studied from 2015 to 2019. His educational background equips him with a strong understanding of data analytics principles and economic theories, which he applies in his current role.
Data Pipeline Development
In his role as a Junior Data Scientist at ECS, Matthew Bernhards develops and manages a data pipeline that transforms image and metadata into a usable format for end users. This involves not only the technical aspects of data transformation but also ensuring that the data is accessible and useful for analysis and visualization purposes. His work supports various data-driven initiatives within the organization.