Monsoon Mayhem to Market Waves: Forecasting Fisheries Resilience in Sri Lanka

A data analytics and forecasting framework that examines how climate variability and major disruptions influenced Sri Lanka's fisheries sector between 2019–2025. The project combines STL decomposition, Spearman lag correlation, ITS regression, SARIMAX forecasting, and hotspot detection to uncover patterns, predict production and prices, and support data-driven policy decisions.