● Performed SQL queries to build data processing infrastructure. Analyzed customer behavior and user preferences regarding the product interface and identified a potential opportunity to increase product usage● Gathered and cleaned user engagement data in SQL, built and tested Logistic Regression model in Python to evaluate the importance of each feature, with over 90% accuracy, isolated key levers to drive user engagement● Collaborated closely with cross-functional product and designer team to develop refined UI prototypes based on customer behavior research, with a focus on improving accessibility to profile editing on the homepage● Designed and implemented a series of A/B testing experiments, working with engineers to verify hypotheses on UI enhancements driving product usage rates