Developed Email Normalization and Reporting Scripts

• Day: 2025-10-01
• Time: 18:20 to 19:55
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Email Normalization, Csv Processing, Python Scripting, Data Automation

Description

Session Goal: The session aimed to develop robust Python scripts for normalizing email data from CSV files and generating actionable communication reports.

Key Activities:

• Explored alternatives to SHA256 for unique ID generation, including MD5 and blake2b.
• Planned and executed strategies for email normalization, focusing on structuring conversation data from platforms like WhatsApp and Instagram.
• Developed Python scripts to normalize email data into structured CSV formats, handling threading, message metadata, and participant details.
• Implemented a tiered heuristic for email clustering, prioritizing explicit reply chains and normalizing subjects and participants.
• Created an operational pack for generating cross-channel messaging reports, including unread threads, dormant contacts, and top contacts.
• Addressed issues related to NaN handling in CSV processing, ensuring robust data normalization.

Achievements:

• Successfully created scripts for email normalization and communication analytics, enhancing data processing and reporting capabilities.

Pending Tasks:

• Further optimization of communication analytics scripts and integration with additional data sources.
• Exploration of additional heuristics for more accurate email threading and clustering.

Evidence

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• event_ids: []