Data-Driven Decision Support Model Development

I am looking for support in developing a data-driven decision-making and optimization model using Operations Research and Mathematical Modeling techniques. The objective of this project is to design a practical decision support system that helps organizations improve efficiency, reduce operational costs, and make informed strategic decisions based on data analysis and mathematical optimization. This project may involve real-world applications such as: • Resource allocation and scheduling optimization • Supply chain and inventory optimization • Transportation and logistics planning • Production planning and capacity optimization • Demand forecasting and decision analysis • Cost minimization and profit maximization models • Simulation and scenario-based decision support • Healthcare or hospital operations optimization Required Expertise: • Operations Research and Mathematical Modeling • Optimization techniques (Linear Programming, Integer Programming, MILP) • Data Analysis and Decision Support Systems • Python, Excel, MATLAB, or similar tools • Strong problem-solving and analytical skills Deliverables may include: • Mathematical model formulation • Optimization algorithm or solver implementation • Scenario analysis and performance evaluation • Visualization of results and decision insights • Clear documentation of methodology and results This project is suitable for organizations, startups, researchers, or professionals seeking practical decision-making solutions based on data and optimization techniques.