Zhen Wang

• Built and productionised machine learning models using XGBoost in AWS for Flex drivers’ delivery quality, which is a key part of Flex drivers’ fair evaluation. • Utilized predictive models and novel approaches of detecting abnormalities to identify exemption abuse behaviors

Developed machine learning models to optimize profit and revenue of mortgages, and conducted pricing analysis

• Lead a team to conduct new vehicle market demand (price & volume) related analysis, develop models using machine learning algorithms and deploy models into production • Effectively communicate the results to business partners and recommend best model applications; Continuously monitor the model performance and provide suggestions on model refinements • As a key member in the leadership team in the following areas: new talents recruitment and on-boarding, coaching and developing team members, resources allocation and priorities setting

• Worked on a variety of consulting projects for different business segments and collaborated with chemists and engineers. o Analyzed data and built models in R, Python and SAS to identify important factors. o Designed experiments to evaluate the effects of different factors on test performances. o Communicated results through oral presentations and written reports effectively. • Analyzed very large historical databases with many predictive variables and built predictive models for performance tests. • Provided support for difficult technical issues within the department. Areas of involvement include complex design of experiments, non-linear variable selection and model creation for data mining activities.