An AI agent designed to act as an interactive data scientist, transforming natural language queries into executable Python code for data analysis. The project utilizes the Google Gemini model for its reasoning capabilities, generating Pandas code to answer questions about a given dataset. The agent's core functionality involves code generation and execution within a Python interpreter, maintaining conversational context, and summarizing insights for the user. A significant aspect highlighted is the critical importance of secure code sandboxing when executing AI-generated code due to potential security risks.

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