Lena Gordiyenko
About Lena Gordiyenko
Lena Gordiyenko is a Senior Data Engineer at the American Chemical Society, where she has worked since 2020. She has extensive experience in data engineering and analytics, having previously held positions at Steben & Company, NIH, and Pace Global Energy.
Current Role at American Chemical Society
Lena Gordiyenko serves as a Senior Data Engineer at the American Chemical Society (ACS) since 2020. In this role, she focuses on projects that analyze member and non-member behavior, enabling the organization to tailor its product and service offerings to diverse audiences. Her work includes contributing to the Society Data Store, which integrates data from various sources to improve predictive analytics.
Previous Experience at Steben & Company, Inc.
Prior to her current position, Lena worked at Steben & Company, Inc. as an Applications Manager from 2013 to 2020. During her seven years in Gaithersburg, MD, she managed various applications and contributed to the optimization of processes within the organization.
Software Development Background
Lena has a solid foundation in software development, having worked at Information Strategies as a Software Developer from 2005 to 2006. Additionally, she served as a Senior Applications Developer in the Risk Management department at Pace Global Energy from 2006 to 2007. Her experience also includes a six-year tenure at NIH, NIAID as a Senior Software Developer and Tech Lead from 2007 to 2013.
Educational Background
Lena holds a PhD in Economic and Mathematical Modelling from Donetsk State University of Economics and Trade, where she studied from 1995 to 2000. She also earned a Master of Science (M.S.) in Computer Science from Donetsk National Technical University, completing her studies from 1990 to 1995. Her educational background provides a strong foundation for her analytical and technical skills.
Contributions to Analytical Projects at ACS
At the American Chemical Society, Lena has engaged in various analytical projects for the Membership Department. She has played a key role in building data pipelines and implementing models such as the Renewal Model, Rejoin Model, and Acquisition Model, which are essential for understanding membership dynamics and enhancing member engagement.