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Leveraging statistical modeling and machine learning to forecast future trends while recommending optimal actions. Combines historical data with real-time inputs to build scenario-based decision frameworks. Applications include demand forecasting, risk mitigation, and operational planning. Uses techniques like time-series analysis, simulation, and optimization algorithms to drive data-informed business strategies with measurable impact.
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