📅 2025-11-05 — Session: Automated Data Processing and CSV Management
🕒 21:55–22:10
🏷️ Labels: Python, CSV, Data Processing, Automation, OCR
📂 Project: Dev
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.