How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis

Short summary

The article outlines building an autonomous data science agent using DeepAnalyze-8B in 4-bit quantization on a T4 GPU via Google Colab. It describes a sandboxed execution environment where the model generates Python code, runs it safely, observes results, and iterates in an agentic loop. The agent is tested on a multi-file e-commerce dataset to clean, join, analyze, visualize, and summarize data into an analyst-grade report.

• •DeepAnalyze-8B loaded in 4-bit mode to fit T4 GPU memory on Colab
• •Sandboxed execution environment enables safe iterative code generation and evaluation
• •Agent handles end-to-end e-commerce data workflow: cleaning, joining, analysis, and reporting

Generated with AI, which can make mistakes.