Cheryl Kondrak
About Cheryl Kondrak
Cheryl Kondrak is an Analyst at Crowley Webb, where she has worked since 2017. She holds a PhD in Social Psychology from the University at Buffalo and has extensive experience in data management, statistical analysis, and psychological measurement.
Work at Crowley Webb
Cheryl Kondrak has been employed as an Analyst at Crowley Webb since 2017. In this role, she utilizes her expertise in data management and statistical analysis to support various projects. Her work is based in the Buffalo/Niagara, New York Area, where she contributes to the company's analytical capabilities.
Education and Expertise
Cheryl Kondrak earned her Doctor of Philosophy (PhD) in Social Psychology from the University at Buffalo Graduate School, completing her studies from 2012 to 2017. She also holds a Master's degree in Social Psychology from the same institution, which she obtained from 2009 to 2012. Additionally, she completed her Bachelor of Arts (B.A.) in Psychology at the State University of New York College at Oswego from 2004 to 2008. Her educational background equips her with strong skills in psychological measurement and experimental design.
Background
Before joining Crowley Webb, Cheryl Kondrak held several positions at the University at Buffalo Graduate School. She served as Senior Lab Director from 2010 to 2017, where she managed research activities. She was also a Research Project Coordinator from 2012 to 2017, overseeing various projects. Additionally, she worked as an Instructor of Record from 2014 to 2017, teaching courses related to her field. In her final year at the university, she was the Coordinator for the Assessment of Student Learning.
Professional Skills
Cheryl Kondrak possesses strong skills in data management and statistical analysis, which are essential for her role as an Analyst. Her extensive experience in psychological measurement and experimental design allows her to effectively analyze and interpret data related to human behavior. She has a genuine enthusiasm for understanding and anticipating human behavior through quantitative data patterns.