Data Analyst Intern
• Conducted A/B testing to explain user propensity and give actionable insights to improve user product experience, increasing click through rate on “favorite” button by 15% • Identified metrics with data scientists for recommendation system and initiate in-house analysis reports to track user feedback overtime using SQL and Python and created dashboards in Tableau• Analyzed web behavior during customer journey using Python and Google Analytics to explore reasons for drop-off and proposed suggestions on product improvement, remaining customer retention in 75%• Developed dashboards for KPIs along conversion funnel across different channels using Tableau to help optimize marketing spending and set working priorities• Automated weekly performance reports by building ETL pipeline includes data collection, cleansing, calculation and visualization in Airflow and Python, improving work efficiency by 5 times