Yucheng Zhou

Transport and Logistic

Talent

West Coast VillageMember since 27 August 2025

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About

Motivated Master’s candidate in Transport and Urban Mobility at the National University of Singapore, with a strong foundation in transportation systems and data analytics. Experienced in Python, MATLAB, CPLEX, and VISSIM, with a proven ability to develop optimization models and deliver data-driven insights. Previously interned at Full Truck Alliance, where I improved order fulfillment efficiency by 11% through model tuning and A/B testing.

Seeking opportunities to apply my skills in transport planning, data analysis, and algorithm optimization to contribute to innovative mobility solutions.

Experience

Experienced and analytical transportation professional with a strong background in data analytics, modeling, and optimization within the transport and logistics sector. Proven ability to leverage programming skills in Python, MATLAB, and R to analyze large datasets, improve operational efficiency, and support data-driven decision-making. Successfully led project teams and contributed to impactful research in urban mobility and user behavior analysis.

Seeking to apply expertise in transport systems and data science to tackle complex challenges in urban mobility and supply chain optimization.

Key Highlights:

Data Analytics & Modeling: Conducted cluster analysis on 300,000+ waybill records, optimized algorithms, and improved order fulfillment efficiency by 11% during internship at Full Truck Alliance.

Project Leadership: Led a team of 6 in a large-scale research project, managing surveys and analyzing data to support policy recommendations on e-bike demand.

Technical Proficiency: Skilled in transport simulation software (VISSIM, TransCAD), optimization tools (CPLEX), and programming languages (Python, MATLAB, R).

Research & Collaboration: Contributed to cross-country research on transportation privacy perceptions using advanced modeling techniques such as ICLV and structural equation models.