uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found
Apr 2025 – Apr 2025
1 Month active
Languages Used
CSVPython
Technical Skills
Data PopulationDatabase ManagementScripting
wvelez1
PROFILE
Wvelez1
Walter Velez developed a CSV-based User Data Import Script for the uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found repository, focusing on automating user onboarding and improving data integrity. He used Python scripting to parse CSV files, implemented deduplication logic, and managed profile photo imports while handling basic database errors. His approach included batch insert operations to optimize performance and validation routines to ensure data quality. By integrating logging and error handling, Walter enhanced maintainability and surfaced issues efficiently. The work demonstrated practical skills in data population, database management, and scripting, delivering a maintainable solution for scalable user data onboarding.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
101
Activity Months1
Your Network
186 peopleWork History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found. Delivered a CSV-based User Data Import Script to populate the Users table from CSV with deduplication, profile photo handling, and basic database error handling. This work enables automated onboarding of users, reduces manual data entry, and improves data integrity through safe and efficient batch inserts. Demonstrated data import scripting, CSV parsing, database operations, error handling, and validation, contributing to scalable onboarding and maintainable data pipelines.
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found. Delivered a CSV-based User Data Import Script to populate the Users table from CSV with deduplication, profile photo handling, and basic database error handling. This work enables automated onboarding of users, reduces manual data entry, and improves data integrity through safe and efficient batch inserts. Demonstrated data import scripting, CSV parsing, database operations, error handling, and validation, contributing to scalable onboarding and maintainable data pipelines.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPython
Technical Skills
Data PopulationDatabase ManagementScripting
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