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1
operations research analyst
- Study and analyze information alternative courses of action to determine which plan will offer the best outcomes.
- Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
- Develop and apply time and cost networks to plan, control, and review large projects.
- Formulate mathematical or simulation models of problems (such as Monte Carlo simulation or others), relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
- Develop business methods and procedure, including accounting systems, file systems, office systems, logistics systems and production schedules.
- Collaborate with senior managers and decision maker to identify and solve a variety of problems and to clarify operational objectives about projects for client.
- Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
2
operations research analyst
- Worked on Predictive and Prescriptive Analytics
- Time Series Forecasting
- Mathematical Optimization
- Developed models in python
- Responsible for delivery of the projects
- Lead and train team towards analytics
- Co-ordinate and manage client expectations and deliverable
3
operations research analyst
- Define data requirements and gather and validate information, applying judgment and statistical test.
- Specify manipulative or computational methods to be applied to models.
- Perform queuing and use of other stochastic-process models.