Data Analytics• Designed and performed A/B testing to select 2 out of 5 new products for rollout for a quick-service restaurant chain, and created Linear Regression and Random Forest models to guide the rollout process with 7-15% expected ROI• Defined key performance metrics and conducted A/B testing on Store and Customer level for a multinational retail company on digital marketing and CRM strategies, contributing to over $40M in annual incremental sales• Optimized email marketing strategy for a financial institution through testing and projecting customers’ reactions with Logistic Regression models; built Causal Impact models after rollout to observe 3% drop in email marketing cost and 7% lift in CTR• Established and maintained dashboards to visualize data on spend, fraud, and chargeback for a credit card issuer, and provided portfolio diagnostics to identify opportunities to potentially raise card spend by 7% and reduce chargeback by 9%Product / Project Management• Led annual steerco meetings to understand strategic priorities for 8 clients across retail, restaurants, healthcare and financial institutions; hosted account planning meetings internally to identify project opportunities, risks and next steps• Fostered client engagement through hosting weekly external touch bases and office hours, oversaw client analysis advisory, and provided guidance on testing strategies to ensure accurate readoutsTechnical Skills:• Implemented 10+ product hierarchies and SQL pipelines, and led the ETL process to load 10+ complicated event feeds with 50M+ rows of transaction data through utilizing advanced SQL queries including cursor and recursive CTE• Led the development and iteration of 20+ machine learning models with Python, including Linear Regression, Logistic Regression, Decision Trees, and Random Forests to project the lift of initiatives on Customer, Store and Market level