An operations research and data analytics system solving complex Vehicle Routing Problems (VRP) with capacity and time-window constraints using heuristic and exact graph algorithms.
Represented road networks and depot-to-customer logistics using weighted spatial graphs and distance matrices.
Implemented and compared Dijkstra/A* pathfinding, Genetic Algorithms, and Clarke-Wright savings heuristics to minimize total transit distance and fuel consumption.
Built comprehensive Jupyter Notebook analytics pipelines with geospatial visualizations for route inspection and benchmark reporting.