I will solve linear programming, scheduling, routing, and resource allocation problems

I solve complex optimization and Operations Research problems using Python, mathematical modeling, and advanced algorithms.

Linear Programming: Objective functions, constraints, and optimal solutions.

Combinatorial Optimization: Scheduling, routing, assignment, and resource allocation.

Operations Research: Mathematical modeling, decision analysis, and operational optimization.

Python Optimization: Develop algorithms, simulations, and automated workflows.

Predictive Modeling: Forecasting, regression analysis, and machine learning.

Statistical Analysis: Hypothesis testing, correlation, and data interpretation.

Model Evaluation: Validate solutions, compare scenarios, and improve performance.

Applications: Supply chain optimization, logistics, production planning, workforce scheduling, cost minimization, and resource allocation.

Deliverables:

• Python source code
• Mathematical formulation and optimization results
• Data analysis and visualizations
• Model evaluation

Tools: Python, NumPy, Pandas, SciPy, PuLP, Pyomo, OR-Tools, and Scikit-learn.

Share your problem, dataset, constraints, and objectives. I will develop a practical, data-driven solution tailored to your requirement.