Min Wang Email and Phone Number

Responsibilities included providing end-to-end solutions to predict merchant’s sales, developing ML based model to get best contactability number to connect to the consumer in collection process of credit products, and delivering advance models to predict likelihood of a consumer self-curing to improve collection efficiency

Refreshed rating factors for company core product: applied statistical models to predict personal auto loss and computed rating factors.Targeted precise population for direct mail advertising on marketing: performed data manipulation, feature engineering and built different stages of models for customer acquisition and lifetime value estimate.Explored driven variables in frequency and severity models of insurance: conducted one-way exploratory analysis, checked consistency and analyzed variable patterns, etc.

Proposed machine learning method with applications to cancer research. Developed innovative statistical clustering method, and analyzed critical signaling pathways.Implemented novel variable/feature selection and importance ranking procedures. Inferred gene network interactions, and explored association between gene features and tumor.Detected crucial features in functional generalized linear models. Extracted information on CpG sites that drive traits/subtypes by leveraging methylation data.

Automated predictive modeling and clustering; analyzed spatial data and conducted experimental sampling; compared data collection technologies; and established optimal sampling strategy framework.