(Coursera certificate: SQL for Data Science)，
(Coursera certificates in Python data structures, statistical analysis and visualization )，
(For data forecast)，
Technische Universität München(Singapore Campus)
Rail, Transport and Logistics(specialized in Logistics)
Honors: TUM-Asia scholarship, DAAD scholarship
Core Courses: Supply Chain Management, Planning of Intralogistics Systems, Decision Support for Logistics Management, Statistical Methods, Transport & Logistic Processes, Green Supply Chains & Risk Management, Logistics Service Provider (LSP) Management.
Traffic and Transportation
Average Score: 83.42/100
Core Courses: Operational Research, Transportation Economics, Management, Simulation Application of Traffic and Transportation, Database Principles, Descriptive Geometry and AutoCAD, Mechanical Principles and Design
Beijing Transportation Information Center
Data analysis Intern
Cooperated with colleagues to find the resources needed for related projects.
Data cleaning, classification, visualization, description.
With reference to experts’ analysis of international aircraft transportation delays caused by covid-19, summarized the precautions for emergency logistics under disasters.
Marine documentation officer
Updated ERP/SAP system according to requested SOP/Deadline.
Bill clarification with shipper and booking agent.
Worked closely with internal and external to handle the exceptions.
Suning Logistics Co., Ltd.
Supply Chain Intern
Collected supplier information and samples according to purchasing requirements, and assisted in purchasing, purchasing, storage, etc.
Researched transportation market and managed orders and customer documents.
Assisted in analyzing market demand, formulated material demand plans, and provided demand forecast to suppliers.
Study on Shared Bicycle Parking Points in Beijing (SRTP Project)
As the second Author, published an article: Research Progress of Transportation Under Sharing Mode, proposed innovative schemes such as new charging piles and intelligent sharing systems in view of the charging and vehicle configuration problems encountered in the use of shared vehicles.
Analyzed the information and statistics, worked out the usage of shared bicycles in Beijing, and the distribution of peak periods was obtained.