📅 2025-10-01 — Session: Developed Email Normalization and Reporting Scripts
🕒 18:20–19:55
🏷️ Labels: Email Normalization, Csv Processing, Python Scripting, Data Automation
📂 Project: Dev
⭐ Priority: MEDIUM
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.