Collaboration with AI Engineers

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• Description: Support AI team with data science insights
• Activities:
  • Share EDA findings:
    • Present temporal patterns discovered
    • Share department and patient insights
    • Discuss key findings and implications
  • Recommend features:
    • Present feature importance analysis
    • Recommend features to include/exclude
    • Suggest new feature engineering ideas
  • Validate features:
    • Review engineered features with AI team
    • Test feature quality and usefulness
    • Provide feedback on feature effectiveness
  • Support model improvement:
    • Provide error analysis insights
    • Suggest data improvements
    • Recommend model adjustments
  • Prepare for production:
    • Help prepare data for production use
    • Define data requirements for predictions
    • Create data validation checks
  • Maintain documentation:
    • Ensure all data assumptions documented
    • Document feature meanings and uses
    • Keep feature documentation current
• Deliverables: Collaboration notes, feature recommendations, validation results