Automated Data Processing and CSV Management

• Day: 2025-11-05
• Time: 21:55 to 22:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, CSV, Data Processing, Automation, OCR

Description

Session Goal

The goal of this session was to automate data processing tasks using Python scripts, focusing on cleaning and transforming data into CSV files.

Key Activities

• Developed a Python script to process message data by cleaning timestamps, handling NaN values, and chunking the output into CSV files.
• Implemented a script to convert timestamps to a readable format and save messages in CSV blocks of 100, including a demo DataFrame.
• Created a CSV file from a contact list, normalizing data and saving it using pandas.
• Utilized OCR to extract phone numbers from images, cleaned the data, and merged it with existing contacts before saving to CSV.
• Extracted contact lists from WhatsApp banners and formatted them as CSV for easy data merging.

Achievements

• Successfully automated the conversion and cleaning of data into CSV format.
• Enhanced data processing capabilities with scripts for timestamp conversion, NaN handling, and OCR integration.

Pending Tasks

• Further optimization of the OCR process for more accurate phone number extraction.
• Implement additional data validation checks during CSV creation.

Evidence

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• event_ids: []