A/B Test Analyst – Vanguard UI/UX Experiment
Executed an A/B test analysis to evaluate a new user interface, focusing on user completion rates and identifying in-context prompts. Cleaned, merged, and analyzed a dataset of over 320,000 entries using Python (Pandas). Applied feature engineering and rigorous data processing to identify friction points in user journeys. • Utilized demographic profiles and digital footprints to support analysis. • Employed advanced data cleaning techniques to improve data quality. • Applied classification methodology to label and evaluate user behavior. • Supported UX/UI research through structured data annotation.