EV Charging analytics kerala

I have detailed session logs and availability records from our current EV charging network and need a concise analytics solution that tells me exactly where to place the next chargers. Your task is to mine this historical data, model demand, and deliver a ranked list of geographic areas ordered by projected need.

You are free to use Python, pandas, scikit-learn, GIS libraries, or any other tools you find appropriate. What matters is clear, defensible methodology and results I can act on. Please describe how you will:
• clean and structure the charger-session and availability data,
• build a spatial-temporal model that predicts future utilisation, and
• validate the output so the ranking is trustworthy.

Final hand-off: a reproducible notebook or script, any auxiliary files, and a brief explanation of the ranking logic. Design it so additional data sources—such as traffic or driver-pattern information—can be plugged in later, but focus this phase strictly on the data I already have.