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lorena-arroyo

PROFILE

Lorena-arroyo

Lorena Arroyo developed a comprehensive SQL Exercises and Documentation Library for the IDESIE/MBIM24_SQL repository, focusing on practical learning resources and maintainable tooling for facility databases. She designed and implemented SQL queries for data retrieval, aggregation, and manipulation, supporting analytics such as facility-level metrics, component distributions, and date-based reporting. Lorena improved repository organization by introducing clear documentation, diagrams, and standardized naming conventions, which streamlined onboarding and ongoing maintenance. Her work demonstrated depth in SQL, data analysis, and database management, enabling richer reporting and scalable dashboards while ensuring code quality and traceability through disciplined version control and technical writing practices.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

21Total
Bugs
0
Commits
21
Features
4
Lines of code
581
Activity Months2

Work History

March 2025

12 Commits • 3 Features

Mar 1, 2025

March 2025 MBIM24_SQL monthly summary: Delivered core analytics and data presentation improvements for facilities, enabling richer reporting and better decision support. Implemented three features: facility-level metrics, advanced data retrieval with cross-entity joins, and date-based presentation and yearly analysis. These changes improve data-driven insights for space planning, component distribution, and executive reporting, while laying groundwork for scalable reporting and dashboards.

February 2025

9 Commits • 1 Features

Feb 1, 2025

February 2025 focused on delivering a comprehensive SQL Exercises and Documentation Library for the Facility Database in the IDESIE/MBIM24_SQL repository. The feature provides a practical exercise file and SQL queries for retrieving and manipulating facility-related data, along with diagrams and documentation assets. The work improved learnability, standardized usage, and repository organization, enabling faster onboarding, clearer data access patterns, and easier maintenance. No major bugs were reported this month; the primary emphasis was on delivering business value through robust learning resources and maintainable tooling.

Activity

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Quality Metrics

Correctness90.4%
Maintainability90.4%
Architecture85.6%
Performance89.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

SQL

Technical Skills

Data AnalysisDatabase ManagementDatabase QueryingSQLSQL Refactoring

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

IDESIE/MBIM24_SQL

Feb 2025 Mar 2025
2 Months active

Languages Used

SQL

Technical Skills

Database ManagementDatabase QueryingSQLSQL RefactoringData Analysis

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