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Python scripts to fetch, clean, and archive monthly food commodity price data (international & domestic markets) from the FAO GIEWS FPMA API. Outputs gap-filled CSV time series covering prices in USD and local currencies across global markets.
A data analytics dashboard for exploring global food price trends, volatility clustering, and time-series forecasting with a focus on data integrity and interpretability.
Interactive Streamlit & Power BI dashboards analysing global food price inflation (2007–2023) across 25 countries. Includes data cleaning, statistical hypothesis testing, ML-powered predictions, and a country explorer. Built for the Code Institute Data Analytics Hackathon.