CV

Objective

Successfully graduate in April 2028.

Education

• Ph.D. in Industrial Engineering, University of Twente, 2024–present
• B.S. in Transportation Engineering, Shanghai Jiao Tong University, 2021
• M.S. in Management Science and Engineering, Zhejiang University, 2024

Research Experience

• Algorithm Engineer Intern
  • Hangzhou Linezone Data
  • May 2022 - Mar 2023

  • Supervisor: Professor Jin Qingwei

  • Conducted data cleaning and analysis using Python’s pandas library to explore distribution characteristics of apparel sales data, including apparel product life cycle, price band distribution, and the relationship between discounts and sales.

  • Innovatively constructed predictive models based on longest increasing subsequences, achieving a prediction accuracy of 78.9% and identifying fast-selling products 17 days earlier than traditional methods.

  • Co-authored a research paper titled “Identifying Popular Products at An Early Stage of Sales Season for the Apparel Industry.”
• Undergraduate Thesis
  • Shanghai Jiao Tong University
  • Feb 2021 - Jun 2021

  • Supervisor: Professor Jin Jiangang

  • Developed an Integer Linear Programming (ILP) model for “flexible scheduling” of emergency buses, implementing the model using CPLEX to find exact solutions.

  • Designed and implemented a heuristic algorithm based on averaging concepts and local search techniques, achieving results within 2.2% of the exact solution.

Skills

• Programming: Proficient in Python, with experience in data analysis, machine learning, and algorithm development.
• Machine Learning: Familiar with using machine learning frameworks, including scikit-learn.
• Mathematical Modeling: Strong background in mathematical modeling, particularly in transportation and optimization.

Publications

• “Identifying Popular Products at An Early Stage of Sales Season for the Apparel Industry.” (Minor Revision)
  • Co-author: Jiayun Wang
  • Presented at Informs Journal on Applied Analytics (if applicable)