Multi-Lingual Supply Chain Algorithm Performance Benchmark Optimizing for Real-World Scenarios.This project is a comprehensive performance benchmark comparing the execution speed and solution quality of various programming languages— Python, C++, Rust, and Julia **—when applied to a critical **Supply Chain Management (SCM) problem

KaalPath is a cutting-edge framework that redefines logistics optimization for global supply chains. Harnessing the power of quantum-inspired optimization, fuzzy logic ranking, and deep learning prediction, KaalPath tackles the complexities of multi-modal routing

A machine learning-driven supply chain optimization project presented as a Jupyter Notebook. It integrates demand forecasting, inventory level optimization, and logistics route optimization using time series models, classification, and graph-based methods, with visualizations and performance metrics to guide decision-making.

Work on clients’ data to help it understand the primary causes of unfulfilled requests as well as come up with solutions that recommend drivers locations that increase the fraction of complete orders.

Work on clients’ data to help it understand the primary causes of unfulfilled requests as well as come up with solutions that recommend drivers locations that increase the fraction of complete orders.

A delivery optimization project using causal inference and logistic optimization