“What Can We Do About Greenhouse Gas / CO₂ Emissions?” is a data‑analytics initiative designed to turn raw global‑emissions records into clear, policy‑ready intelligence for sustainability leaders and environmental decision‑makers.

Working from July to October 2023, I owned the end‑to‑end data pipeline—cleaning and standardising the dataset with Python (pandas, NumPy), applying statistical analysis and modelling to expose the biggest emission drivers and historical trends, and then translating those findings into interactive Tableau dashboards and a concise recommendations report. The finished package equips stakeholders with visually intuitive evidence and actionable strategies to shape effective, science‑backed emission‑reduction plans.

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