Silent Partners×Mobile Infrastructure
    December 23, 2025
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    ODR.002.001•Operator Data Anomaly Detector

    Operator Data Anomaly Detector - Development Session

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    Session Transcript

    Development Session Transcript

    Session Overview

  1. **Date**: December 15, 2024
  2. **Duration**: 2 hours 15 minutes
  3. **Participants**: Development Team, Sean Coyne (SME)

    4. Key Discussion Points

    10:00 - Project Kickoff We started by reviewing the requirements outlined in the SCOREcard. Sean walked us through the current manual process for reviewing operator files. 10:30 - Data Format Analysis Discussed the variety of formats operators submit:
  4. CSV files with varying column orders
  5. Excel files with multiple sheets
  6. Date formats ranging from MM/DD/YYYY to YYYY-MM-DD
    7. 11:15 - Architecture Discussion Decided on the following approach:
  7. Python backend for file processing (pandas)
  8. React frontend for visualization
  9. Statistical methods for anomaly detection
    10. 12:00 - Live Coding Session Built the initial file upload component and basic parsing logic.

    Action Items

    Set up development environment
    Create sample test files
    Implement basic anomaly detection algorithm