Electric Vehicle Charging Station Analysis Using SQL and DGL: An Industrial Training Study at ProMind AI Industries Ahilyanagar.

The industrial training at ProMind AI provided practical exposure to the application of data analytics and artificial intelligence in Electric Vehicle charging infrastructure. The study demonstrated how SQL can be used to organize, query and analyze charging-station data, while DGL provides a framework for representing charging infrastructure as graphs and developing graph-based machine-learning models.  The combination of SQL + DGL + EV charging data provides a useful foundation for analyzing station utilization, energy consumption, charging patterns and relationships between stations. Further development using real industrial datasets and validated machine-learning models can support intelligent charging management, demand forecasting and future EV infrastructure planning.

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