Xiaochang Miao

• Design and develop A/B testing framework in python to standardize and automate experiment analysis and reporting.
• Build various data pipelines to extract analytical information from client logs and integrated with ETL by using both Spark (with Scala) and python.
• Develop and maintain python codes in production to monitor and control fraud activities.
• Build a churn model with machine learning algorithms (Random Forest and Logistic Regression) to understand the key factors that would affect users’ long term retention based on their first-week engagement, and provide several actionable recommendations for product development and targeted marketing strategies.
• Implement numerous A/B testing to optimize user acquisition strategies, viral channel, first-week activation and user retention, and evaluate product performance including grocery shopping and marketing campaigns.
• Conduct in-depth data analysis based on users’ shopping profile and provide product insights to drive more revenue-generating engagement.
• Build various dashboards in Tableau, Caravel and Metric Insight to monitor fraud activities and report business metrics to C-level management. Write complex queries with Vertica SQL and spark SQL to address the ad-hoc requests to fulfill the business needs.

• Design new memory operation algorithms to improve product reliability & performance and submitted 5 US patents accordingly (4 of them are approved, and 1 are under review).
• Build analytical and statistical models (mainly regression models) to discover chip failure patterns.

• Develop object-oriented python scripts for data acquisition, cleaning and visualization.
• Perform A/B testing on semiconductor fabrication recipes to optimize chip processing.
• Supervise the test engineers to run qualification tests and analyze GBs of data to quantify the results based on customer specs for various product lines.

Work on graphene based electronic devices modeling and physical property studies. Published 5 papers in top peer-reviewed scientific journals with total citation > 800 as listed in google scholar.