📅 2024-08-25 — Session: Developed Email-Based Classmate Matching System

🕒 22:10–23:10
🏷️ Labels: Python, Email Lookup, Data Processing, Classmate Matching, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to develop a Python-based system for identifying classmates using email addresses instead of traditional legajo numbers, aiming to streamline the lookup process and enhance data processing efficiency.

Key Activities

  • Evaluated the use of email addresses for identification and lookup purposes.
  • Developed Python functions to find classmates using email addresses, leveraging Pandas for data manipulation.
  • Implemented data processing steps to aggregate results by the most frequent matches for each email.
  • Extracted maximum match emails and weights from DataFrames to identify best matches.
  • Simplified data processing by eliminating unnecessary steps and applying thresholds.
  • Optimized the classmate matching process by focusing on natural long formats and creating course identifiers.
  • Generalized a function to find connections by email, merging results into a single DataFrame.
  • Merged classmate data from lists of friends and foes to analyze relationships.

Achievements

  • Successfully implemented a modular and efficient email-based classmate matching system.
  • Enhanced data processing efficiency by removing redundant steps and focusing on key data transformations.

Pending Tasks

  • Further testing of the system with larger datasets to ensure scalability and robustness.
  • Integration of the system into existing data management workflows.