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Almost optimal
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Almost optimal
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JayeshYevale/README.md

Hi, I'm Jayesh 👋

I'm an Industrial Engineer working in Operations Research and Supply Chain Analytics. I build models that answer where things go, how much to make, and when to move them.

  • 🎓 Master's in Industrial Engineering from UIUC and Oklahoma State
  • 🔬 Research on Distributed Optimization for Federated Learning
  • 🚦 Previously worked on transportation projects with the Illinois Department of Transportation

🧩 What I'm Into

  • ⚙️ Optimization · Facility Location, Production Planning, Scheduling, Routing
  • 🤖 Machine Learning and AI · Federated Learning, Predictive Modeling, Learning-Augmented Optimization
  • 📈 Forecasting and Simulation · Demand Forecasting, Time Series
  • 🚚 Supply Chain · Inventory, Network Flow, Capacity Planning

🛠️ Tools

Python Gurobi pandas NumPy scikit-learn PyTorch SQL Excel

📬 Reach Me

LinkedIn · Email

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  1. Production-Planning-Optimization Production-Planning-Optimization Public

    Multi-period production planning with perishable inventory and workforce scheduling, solved with Gurobi.

    Jupyter Notebook

  2. FARS2022-CrashSeverityPrediction FARS2022-CrashSeverityPrediction Public

    ML models predicting crash injury severity and death occurrence from 2022 NHTSA FARS data, comparing Decision Tree, Logistic Regression, Random Forest, and Gradient Boosting.

    Jupyter Notebook

  3. Facility-Location-Optimization Facility-Location-Optimization Public

    Facility siting and warehouse network design models, solved with Gurobi.

    Jupyter Notebook

  4. p-Center-Problem p-Center-Problem Public

    Minimax facility location solved as an integer program with Gurobi, including search-progress and LP relaxation analysis.

    Jupyter Notebook

  5. LP-Seam-Carving LP-Seam-Carving Public

    Content-aware image resizing formulated as a shortest path LP and solved with Gurobi.

    Jupyter Notebook