📅 2025-03-04 — Session: Enhanced Dedupe and Data Processing
🕒 23:10–00:00
🏷️ Labels: Dedupe, Data Processing, Python, Data Cleaning
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve data deduplication accuracy and address issues in data processing scripts.
Key Activities
- Reviewed strategies to enhance Dedupe’s accuracy by focusing on feature improvements and clustering sensitivity.
- Fixed a TypeError in Dedupe 3.0 by correcting interaction variable definitions.
- Provided insights on optimizing a data processing script to address grouping issues.
- Consolidated sparse data by merging records based on unique Person_ID.
- Cleaned and consolidated multiple ‘alumnos’ CSV files into a single dataset using Python and pandas.
Achievements
- Successfully improved the accuracy of Dedupe by implementing better training practices and feature adjustments.
- Resolved interaction variable errors in Dedupe 3.0, ensuring smoother data processing.
- Enhanced data grouping accuracy by addressing over-grouping and under-grouping issues.
- Efficiently consolidated sparse data and multiple CSV files into cleaned datasets.
Pending Tasks
- Further testing of deduplication strategies to ensure robustness across different datasets.