Summary
Leila Jamoosian is an institutional research analyst and statistician with a decade of experience applying rigorous quantitative methods to higher-education decision making in the San Francisco Bay Area. At Cabrillo College she leads institutional data analysis, drawing on a strong academic foundation with M.S. degrees in Biostatistics and Mathematical Statistics to turn complex datasets into actionable insights. Her background spans teaching, tutoring, and research roles where she honed skills in R, Python, Tableau, and survey-oriented analyses such as exploratory factor analysis. Comfortable moving between hands-on data cleaning and higher-level reporting, she brings both technical depth and clear communication to cross-campus stakeholders. Colleagues rely on her to translate statistical nuance into practical policy recommendations that improve student outcomes.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Mathematical Statistics, Bachelor of Applied Science (B.A.Sc.), Mathematical Statistics at Payame Noor University (Distance Education)
Master of Science (M.Sc.), Mathematical Statistics, Master of Science (M.Sc.), Mathematical Statistics at Islamic Azad University,Science And Research Branch
Master of Science (M.Sc.), Biostatistics, Master of Science (M.Sc.), Biostatistics at California State University - East Bay
Upwardly Global
English, Persian, Chinese