Greater Seattle Area
●Worked backend for several go production projects, designed part of the database and implemented different data engineering process to the projects by SQL. ●Designed and implemented algorithms to merchant map reduction, which reduces query time by 40%.
Learning Based Customer Behaviors Analysis in B2C E-commerce Logistics ● Analyzed customers’ preference on various levels combination of logistics attributes like shipping time, shipping rates, delivery method and brand of express company on B2C E-commerce logistics data. ● Applied the choice based conjoint (CBC) analysis method with Hierarchical Bayesian (HB) model in the survey and data analysis process. Implemented Metropolis-Hastings algorithm for model parameter estimation and gave quantitative analysis results for different shipping attributes and levels.
Procedure Optimization for Label Machines ● Worked on a project to improve the effectiveness of automatic label machine by optimizing its labeling procedures. ● Analyzed the structure of label machine’s components, formulated a linear programming model and implemented on hardware to find the optimal procedure parameters for the label machine.
Passenger Behaviors Based Intelligent Public Transit System ● Designed agent-based modeling and simulation (ABMS) to represent passenger behaviors. ● Designed and implemented an agent-based artificial urban transit system (AUTS), evaluated the performance of system through passengers' processing time cost by simulation using AnyLogic.
Tag-Aware Recommendation Systems ● Based on two underlying networked-based methods: probability spreading (ProbS) and heat spreading (HeatS). ● Proposed tag-aware methods via adding a tag as a new factor of the recommendation system. ● Led to a more accurate recommender result which satisfies customer’s personal demands.