Michael Promhan
About Michael Promhan
Michael Promhan is a Junior Data Scientist at ECS in Fairfax County, Virginia, with a background in business analysis and data analytics. He has held various roles in data-related fields since 2011 and possesses degrees in management, business analysis, and data analytics engineering.
Work at ECS
Michael Promhan has been employed at ECS as a Junior Data Scientist since 2020. In this role, he has contributed to the development of data-driven solutions, leveraging his skills in data analytics to support various projects. His work is based in Fairfax County, Virginia, where he has gained valuable experience over the past four years.
Previous Experience in Data Analytics
Prior to his current position, Michael Promhan served as a Volunteer Data Analytics Consultant for the Northern Virginia Human Trafficking Initiative in 2019. He worked for seven months in Falls Church, where he applied his analytical skills to support the organization's mission. Additionally, he held various roles as a Business Analyst at companies such as Wipro Technologies, ADG Tech Consulting, CGI, and OBXtek, accumulating significant experience in business data analysis.
Educational Background
Michael Promhan possesses a diverse educational background. He earned an MBA in Business Analysis from Georgia State University - J. Mack Robinson College of Business, completing his studies from 2008 to 2010. He also studied Data Analytics Engineering at George Mason University from 2017 to 2019. Earlier, he obtained a Bachelor of Science in Management with a focus on Finance and Information Technology from the Georgia Institute of Technology, studying from 2000 to 2003.
Skills and Expertise
Michael Promhan has developed a strong foundation in both business analysis and data analytics throughout his career. His experience in various analytical roles has equipped him with the skills necessary to enhance data science projects. He combines knowledge from his educational background and professional experiences to contribute effectively to data-driven initiatives.