Fei Huang

- Cold-started credit risk models for micro-credit applications of individuals and companies - Led modeling team to discover risk rules and patterns with machine learning methods and optimize them - Analyzed user behavior data, designed monitoring indicators, established problem warning report system - Conducted construction of machine learning platform on Spark

- Developed trading models for security market, selected effective factors using feature engineering methods, trained models with data mining methods and historical data, developed models and kept adjusting, achieved 14.2% annual return in 2016

- Made user portraits, identified customer recall patterns with data mining methods, developed strategies for accurate subsidy delivery, doubled the recall rate of lost customers - Designed automatic operational reports, selected data indicators with business units, designed visualize data charts with PowerBI, offered data insights, contributed to a rapid market growth

- Coordinated project to encourage sub-companies to trade smarter, organized market research, developed models for market analysis and profit estimation, generated project profits of 12.1M$ and 12.9M$ in 2011-2012

Operations Research, Mathematical Modeling, Data Mining, Database Concepts, Algorithms.