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Amat

PROFILE

Amat

Over two months, this developer contributed to the UBLC-CITEC/IT2B_CC105 repository by designing and implementing foundational database features to support analytics and operational reporting. They created a SQL-based data warehouse schema with dimension tables and a Sales fact table, enabling scalable data-driven decision making. Their technical approach emphasized ERD design, dimensional modeling, and robust documentation practices, including a centralized Google Drive reference for project artifacts. In April, they added a VEHICLE_COLLISION table with primary key constraints to capture detailed incident data, enhancing data integrity and analytics readiness. Their work demonstrated proficiency in SQL, database design, and structured file management.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
145
Activity Months2

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 – UBLC-CITEC/IT2B_CC105: Implemented VEHICLE_COLLISION table in the exercise_2 schema to capture detailed collision data (date, time, location, involved parties, contributing factors). The table includes a primary key on ID and well-defined fields for data integrity and analytics readiness. Commit 1261cd741bc4ef2e9bf8cd77602922298fd210aa ("Create TABLE.SQL"). No major bugs fixed this month for this repository. Impact: enhances data integrity, enables collision analytics, reporting, and risk assessment; supports better operational decision-making. Demonstrated skills: SQL schema design, primary key constraints, data modeling, version control.

March 2025

2 Commits • 2 Features

Mar 1, 2025

Monthly summary for 2025-03 for UBLC-CITEC/IT2B_CC105. Key accomplishments include delivering foundational data analytics support and documentation governance. Key features delivered: - Data Warehouse Schema for Analytics: Implemented a SQL-based ERD with dimension tables (Product, Employee, Customer, Time) and a Sales fact table to enable analytics and data warehousing. - Documentation Reference: Google Drive Link added to consolidate project documentation and provide a reference repository for artifacts. Major bugs fixed: None reported this month. Overall impact and accomplishments: - Establishes a scalable analytics data model that supports reporting and data-driven decision making. - Improves documentation accessibility and governance across teams, reducing onboarding time and miscommunication. - Lays groundwork for future analytics pipelines and reporting dashboards. Technologies/skills demonstrated: - SQL data modeling and ERD design for data warehousing. - Dimensional modeling concepts (dimension tables and a Sales fact table). - Version-controlled commits and artifact documentation. - Documentation practices and repository organization.

Activity

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Quality Metrics

Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

SQLText

Technical Skills

Database DesignERDFile ManagementSQL

Repositories Contributed To

1 repo

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

UBLC-CITEC/IT2B_CC105

Mar 2025 Apr 2025
2 Months active

Languages Used

SQLText

Technical Skills

Database DesignERDFile ManagementSQL

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