I’ll be starting the ISyE Deterministic Optimization course at Georgia Tech in Fall 2024 and plan to take the Supply Chain Analytics in Python course on DataCamp. This project will leverage the skills I gain from these courses to enhance my understanding of supply chain optimization.

The DataCamp course focuses on using PuLP, a Linear Program optimization modeler in Python, to tackle various supply chain optimization problems. I will learn how to formulate and solve optimization questions, such as determining optimal locations for production facilities and allocating production demand across different facilities. Additionally, the course covers sensitivity and simulation testing to understand the implications of optimization models. By integrating these techniques, the aim to improve decision-making processes within supply chains, using data-driven insights and advanced analytical methods. Stay tuned for this exciting project!