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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.

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

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.