Rayan Hashemy

Analytical problem solver and rising sophomore at Michigan State University, pursuing Supply Chain Management. Skilled at translating operational challenges into data-driven models and solutions. Creator of a multi-objective Vehicle Routing Problem solver, achieving measurable efficiency gains. Combines technical literacy in Python and optimization methods with a service-driven mindset developed in high-volume, fast-changing environments.

• Architected and implemented a hybrid metaheuristic algorithm
  balancing cost, COn emissions, and VIP service level.
• Integrated ALNS into NSGA-II, improving cost-focused route
  efficiency by 7% over baseline.
• Produced Pareto Front trade-off visualizations to support strategic decision-making.
• Learned how logistics companies are approaching data driven challenges using different ML models to map out efficiency

• Built an end-to-end predictive analytics workflow to estimate delivery times from operational data.
• Conducted EDA and feature engineering; identified strategic patterns in complex models, with simple linear regression outperforming XGBoost (R² = 0.61 vs. 0.43).
• Gained valuable insight into Last mile logistics, and how industry leaders in logistics and transportation are approaching AI impleneation within TMS systems

• Artificial Intelligence for Supply Chains and Logistics – Alison, 2025
• Food Handler Card – Premier Food Safety (Valid until June 2026)

• Music Production – Created and mixed original tracks using FL Studio; developed skills in pattern recognition, layering, and iterative refinement—parallel to data modeling workflows.
• DJing – Perform at private events and social gatherings using Pioneer DJ equipment; curate multi-genre in different sub genres of Electronic music such as Deep house, UK Garage, Tech House, Techno, and DnB

Hash- Soundloud

Cooked.in.the.lab- Soundcloud