IMS Research Associate Sonali Saxena specializes in survey design, questionnaire development, data collection, analysis, and reporting, providing sound insights across a variety of litigation applications. In addition to her survey expertise, Sonali applies advanced analytical techniques—including logistic and linear regression, time-series analysis, and multivariate methods such as principal component analysis, factor analysis, and cluster analysis—to support complex legal, business, and research applications.
Her work supports clients and experts through survey studies on likelihood of confusion, secondary meaning, false advertising, fame and dilution, consumer perception, and attitude research. She also employs analytical expertise to predict prepayment and default rates for mortgage-backed securities, investigate discrimination claims, analyze trademark and patent infringement cases, and develop sampling strategies for litigation compensation assessments.
Before joining IMS’s Litigation Surveys and Consumer Science division, Sonali was a research assistant at De Anza College, conducting statistical research to support academic initiatives. She previously served as a healthcare data analyst at Kaiser Permanente.
Sonali is proficient in STATA, SAS, and R. Her research contributions include publications and presentations on predictive coding, statistical sampling, and fraud detection in data mining.
Education
- Master of Science in Statistics (Biostatistics Concentration), California State University East Bay, 2007
- Master of Arts (MA) in Pure Mathematics, St. Stephen’s College, Delhi University, 2001
- Bachelor of Arts (BA) in Pure Mathematics, St. Stephen’s College, Delhi University, 1999
-
Proven experience across all industries and practice areas.
-
Strategic advisory services for every step of dispute resolution.
