Methodologist
Current• Leveraged SAS and PROC SQL to extract and join data from multiple tables, consolidating large datasets to ensure accurate, up-to-date information for analysis and reporting.• Developed predictive models to forecast operational requirements for the Canadian Census, utilizing historical data and accounting for treatment effects and various operational constraints with SAS, R, and Excel.• Conducted A/B testing to evaluate the effectiveness of reminder methods for the Canadian Census, analyzing outcomes to inform strategies.• Performed clustering analysis in R to create respondent segments, enabling targeted ad campaigns that enhanced the effectiveness of promotional activities.• Engaged extensively with users to understand their needs and requirements, aligning data analysis and solutions with operational objectives.• Delivered internal seminars and presentations to share and discuss the outcomes of research work and data projects.• Supervised a co-op student on multiple analytical projects, providing guidance on project design and data analysis techniques.