Interested in Machine Learning, Complex Logistics Systems Optimization,
Transportation Systems, and Supply Chain Engineering.
MSc Analytics for Transport and Mobility
BSc Logistics Management: Intelligent Logistics
GPA: 3.387 ·
Rank: 7 / 71 ·
Third-Class Scholarship 2024, 2025
Built a truck delivery delay prediction system using ensemble machine
learning models including XGBoost, LightGBM, and CatBoost on logistics
operation data. Designed a temporal cross-validation framework to prevent
data leakage and improve evaluation reliability. Applied SHAP
interpretation, feature ablation analysis, and Optuna-based
hyperparameter optimisation within a modular Python pipeline.
Group Leader — Third Prize (University Level)
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Formulated and solved a production scheduling problem
for an MRI equipment manufacturer using Excel Solver.
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Modelled a transportation problem using linear programming
in Excel Solver.
Intern, Production Planning & Warehouse Operations
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Adjusted daily and weekly production plans in response to
production status, material fluctuations, and urgent orders.
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Applied ABC classification to prioritise inventory management
and resource allocation.
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Gained hands-on experience with WMS in warehouse operations
and coordinated with suppliers to support material supply.