Seattle, Washington, United States
• Led a DS and DE team to build propensity to qualify, propensity to respond, and clustering models for the marketing department in Python (GBM, Clustering analysis, elastic net models) • Created visions and implemented projects in the big data technology, data infrastructure, web applications and modeling areas • Designed the data infrastructure (using MS SQL server, MS SQL Warehouse, PostgreSQL, Hadoop, Spark, and AWS) and web application framework such as Python Flask to automate marketing execution • Led the team to build visualization tools (Tableau, Shiny R, Python Bokeh) for marketing insights, customer profiles and decision trees • Built big data infrastructure and machine learning projects on Hadoop and Spark • Cooperated with the business team on various marketing campaigns and managed vendor relationship