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This project leverages Python (Pandas, Prophet, Matplotlib) to track segment-wise performance, calculate kebele-level market penetration rates, and deliver a 12-month forecast. Provides actionable geographic and segment-specific insights for resource allocation and and strategic planning.
An Excel-based forecast and analysis of electric vehicle market penetration, using a Python-simulated historical dataset (2021–2024) within the automotive industry.