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My Projects

Selected end-to-end data science and business analytics projects.

San Francisco crime trends dashboard showing forecasted incidents by neighborhood

Urban Safety Analytics: San Francisco Crime Trend Analysis (2018-2025)

This project examines San Francisco crime trends from 2018 to 2025 using time-series analysis and spatial visualization techniques. Incident-level data were aggregated by time, category, and neighborhood to identify seasonal patterns, trend shifts, and emerging hotspots. Forecasting models were applied to project future crime levels under observed conditions. Results highlight disparities across neighborhoods and provide evidence-based insights relevant to public safety strategy, resource allocation, and policy evaluation.

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.

Operational Demand Forecasting and Resource Allocation (Active)

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

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