Operations Research: I specialize in areas such as optimization, modeling, simulation, and supply chain analysis.

Data Analysis: Analyzing data and using it to make important decisions is one of my key skills. I use various statistical methods.

Software Proficiency: I have experience working with software like CPLEX, Gurobi, MATLAB, SPSS, and Python. I can also work with SQL.

Programming: I regularly use Python and related libraries (Pandas, Numpy, Seaborn) in my work.

Core Analytical & Quantitative Skills

1. Mathematical Modeling – Ability to represent real-world problems using mathematical formulas.

2. Optimization Techniques – Linear programming, integer programming, nonlinear programming.

3. Statistical Analysis – Hypothesis testing, regression, probability theory, time series analysis.

4. Simulation Modeling – Use of discrete-event and Monte Carlo simulations to predict outcomes.

5. Forecasting Methods – Demand prediction, trend analysis, seasonal variation studies.

Technical & Programming Skills

1. Programming Languages:
   
   

   • Python (NumPy, SciPy, PuLP, Pandas)

   • R (for statistical analysis)

   • MATLAB (for modeling and simulation)

2. Optimization Solvers:

   • Gurobi

   • CPLEX

   • LINGO

   • OpenSolver (Excel)

3. Simulation Software:
   
   

   • Arena

   • Simul8

   • AnyLogic

4. Data Tools & Platforms:

   • SQL (for querying data)

   • Excel (with Solver and Data Analysis ToolPak)

   • Power BI / Tableau (for visualization)

1. Supply Chain & Logistics Optimization
   
   

2. Inventory Management
   
   

3. Production Planning & Scheduling
   
   

4. Transportation & Network Design
   
   

5. Risk Analysis and Decision Support Systems
   
   

6. Cost-Benefit Analysis

1. Problem Decomposition – Breaking complex problems into solvable parts.
   
   

2. Decision Analysis – Evaluating trade-offs and making data-driven decisions.
   
   

3. Scenario Analysis – Assessing outcomes under different assumptions.

1. Data Interpretation & Presentation – Explaining complex models to non-technical stakeholders.
   
   

2. Report Writing & Documentation
   
   

3. Collaboration & Teamwork – Working with cross-functional teams (e.g., IT, finance, operations).
   
   

4. Project Management – Planning, executing, and tracking progress of analysis projects.

Depending on the industry, an OR analyst may need knowledge in:

• Healthcare operations

• Military logistics

• Airline route planning

• Banking and finance operations

• Retail supply chains