Aleksandra (Aleks) Kazakova is a Ph.D. Candidate in the Quantitative Methods in Educational and Psychological Research at the Graduate Center, City University of New York (CUNY). After graduating with a Master’s in Statistics from Baruch College, Aleksandra decided to expand her understanding of the subject through research. By exploring different statistical methodologies to solve data analysis problems in the social sciences, she has mainly concentrated on applying mixed/hierarchical linear models, longitudinal models, structural equation modeling (SEM), item response theory (IRT), and investigating issues related to categorical data.
Aleksandra has eight years of experience in statistical analysis/data analytics. Before joining the Ph.D. program, Aleksandra spent five years in marketing analytics, later shifting her career to applied statistics. During her Ph.D. studies, Aleksandra worked as the research analyst on the National Science Foundation algebra database project led by Dr. Claire Wladis (Borough of Manhattan Community College, CUNY), who aimed to create and validate an item pool to test conceptual understanding of elementary algebra in the college context. In addition to data analytics experience, Aleksandra has been teaching undergraduate-level Statistics at Hunter College and London School of Economics (the external online undergraduate program).
Outside of work, Aleks enjoys creating art. Aleks shares, “Painting is a part of my life as it allows me to splash out my dreams on paper.”
Aleks can be reached directly via email.
