Claude Code Data Science Team

🤖 Claude Code Data Science Team Multi-Agent System

📋 Project Overview

This project leverages the powerful Agent functionality of Claude Code to create a Multi-Agent System that simulates real data science team collaboration workflows. Through the collaborative work of AI Agents with different professional roles, it provides complete end-to-end data science solutions from raw data to final analysis reports.

🎯 Project Goals

- Simulate Real Teams: Recreate role division and collaboration patterns in data science projects
- Automated Workflow: Fully automated pipeline from data cleaning to model building
- Standardized Outputs: Generate professional-grade analysis reports, visualizations, and executable Notebooks
- Best Practices: Follow industry-standard project structure and code standards

🏗️ System Architecture

🤝 Team Members & Role Division

🔄 Workflow

Our Multi-Agent system adopts a Sequential Pipeline architecture:

Phase 1: Project Initiation 🚀

- Receive raw data and analysis requirements
- Develop project plan and timeline
- Initialize project structure

Phase 2: Data Preparation 🔧

- Data quality checking and cleaning
- Missing value handling and outlier detection
- Feature engineering and data transformation

Phase 3: Exploratory Analysis 📊

- Descriptive statistical analysis
- Data visualization and trend discovery
- Correlation analysis and hypothesis testing

Phase 4: Model Building 🧠

- Model selection and training
- Hyperparameter tuning
- Model evaluation and validation

Phase 5: Result Integration 📝

- Technical documentation writing
- Quality assurance and review
- Final report generation

Phase 6: Project Delivery 🎁

- Deliver complete analysis results
- Provide implementation recommendations and future planning

📁 Project…