📅 2025-07-05 — Session: Developed and Refined CSV Data Processing Pipelines
🕒 23:45–00:00
🏷️ Labels: Csv Processing, Data Transformation, Python, Pandas, Banking
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to develop and refine data processing pipelines for CSV files from Erste Bank and Banco Galicia, focusing on encoding issues, data cleaning, and transformation.
Key Activities:
- Resolved a CSV file encoding error by changing the encoding to ‘utf-16’, providing a Python code snippet for implementation.
- Outlined a complete pipeline for reading, cleaning, and exporting Erste Bank CSV files, ensuring proper handling of irregular fields.
- Validated transaction data structures and suggested further analysis and automation steps.
- Processed Galicia transaction data from Excel files, normalizing financial figures and standardizing dates.
- Inspected DataFrame column names to diagnose issues with the expected ‘Fecha’ column.
- Adjusted file loading to correctly set column names and process data without standard headers.
- Reimported ‘ace_tools’ and displayed corrected DataFrame of Galicia transactions.
- Completed the transformation of Galicia tables, offering options to add data to CSV pipeline or review them.
- Provided a Python script to process Banco Galicia extracts, converting data into a standardized format.
Achievements:
- Successfully developed pipelines for processing CSV and Excel files from Erste Bank and Banco Galicia.
- Resolved encoding issues and standardized data formats for further analysis.
Pending Tasks:
- Refactor the Python script into a reusable function for processing Banco Galicia extracts.
- Further automate the transaction analysis and data validation processes.