Operational Demand Forecasting and Resource Allocation (Active)

Forecasting operational demand and translating predictions into actionable resource allocation strategies under uncertainty.

Human-centered operational demand forecasting dashboard showing predicted service demand, staffing capacity, utilization rates, and resource allocation scenarios, with time-series forecasts, KPI cards, and city-level visualizations.

This project focuses on forecasting demand in an operational setting and translating predictions into actionable resource allocation strategies. Historical demand data were analyzed to capture trends, seasonality, and volatility. Forecasting models were evaluated across multiple scenarios, and results were mapped to capacity planning decisions. The analysis demonstrates how predictive analytics can reduce operational risk, improve service levels, and support data-driven planning under uncertainty.