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Beginner in Operations Research
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Shanghai University
Data Scientist
June 25, 2026 – Present
SCETSP_Instances
June 30, 2025 – July 14, 2025
SCETSP: Segment Close-enough Traveling Salesman Problem
View Project2024W-Integer-Programming-Lecture-Notes
November 3, 2024 – February 22, 2025
2024W-Integer-Programming-Lecture-Notes — GitHub repository
View ProjectPDSTSPWI
June 28, 2023 – June 28, 2023
Problem instances, solutions, and code for the parallel drone scheduling traveling salesman problem with weather impacts (PDSTSPWI)
View ProjectUB_INFORMS_Gurobi_Workshop
October 26, 2021 – November 5, 2021
UB_INFORMS_Gurobi_Workshop — GitHub repository
View ProjectBendersDecomposition
December 15, 2020 – January 30, 2022
Learning Benders Decomposition by Coding
View ProjectgeoVeRoPy
July 17, 2020 – Present
geoVeRoPy: Geometrical Vehicle Routing Problems solved by Python
View ProjectLifeGame
December 30, 2018 – December 9, 2025
Personal Toolkit Designed for PhD students who need to manage their time/task/money/literature.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong academic and research-oriented background, focusing on mathematical optimization and algorithm development. This aligns well with a data scientist role that requires deep analytical skills and problem-solving. However, the projects are predominantly personal and academic, lacking evidence of industry-specific applications or team collaboration, which might impact cultural fit in a fast-paced commercial environment. The single listed work experience as 'Data Scientist' at Shanghai University, starting in the future (2026), provides no current or past professional context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a self-driven approach to learning and problem-solving, but there is no information on collaboration, communication, or project management within a team context.