UBLC-CITEC/IT2B_CC105
Mar 2025 – Apr 2025
2 Months active
Languages Used
SQLText
Technical Skills
Database DesignDocumentationERDSQL
EmmanCabello
PROFILE
Emmancabello
Over two months, this developer established foundational data models for UBLC-CITEC/IT2B_CC105, focusing on scalable analytics and structured data capture. They designed and implemented an ERD-based schema with tables for products, sales, time, employees, and customers, using SQL and ERD modeling to ensure relational integrity and future extensibility. In April, they introduced a dedicated VEHICLE_COLLISION table to support detailed event tracking and regulatory reporting, leveraging auto-incremented keys for data consistency. All changes were documented and versioned, with resources shared for stakeholder review. The work demonstrated depth in database design, schema migration, and technical documentation, laying groundwork for robust analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
124
Activity Months2
Your Network
41 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for UBLC-CITEC/IT2B_CC105: Delivered a new data model for vehicle collision events, enabling structured data capture and analytics. Implemented the VEHICLE_COLLISION table in exercise_2 with auto-incremented primary key and fields for crash_date, location, involved_parties, and contributing_factors. This groundwork enables downstream dashboards, risk assessment, and regulatory reporting. Changes were committed as c0639b01ec6c33964c55f400b777e5d770ff6cdb (Create_Create_Table.sql), reflecting a clean, traceable schema migration.
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for UBLC-CITEC/IT2B_CC105: Delivered a new data model for vehicle collision events, enabling structured data capture and analytics. Implemented the VEHICLE_COLLISION table in exercise_2 with auto-incremented primary key and fields for crash_date, location, involved_parties, and contributing_factors. This groundwork enables downstream dashboards, risk assessment, and regulatory reporting. Changes were committed as c0639b01ec6c33964c55f400b777e5d770ff6cdb (Create_Create_Table.sql), reflecting a clean, traceable schema migration.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 — UBLC-CITEC/IT2B_CC105: Delivered foundational activity data model and resource linkage to enable early analytics and consistent data capture. Key feature delivered: an ERD-based database schema including Product, SALES, Time Table, EMP Table, and Customer Dimension, plus a linked activity resource screenshot via GoogleDriveLink.txt. All changes are tracked via Git commits (ERD Tables.sql; GoogleDriveLink.txt). Major bugs fixed: none reported in this period. Overall impact: establishes a scalable data foundation that supports dashboards, reporting, and downstream analytics, reducing integration risk and accelerating feature delivery. Technologies/skills demonstrated: SQL schema design, ERD modeling, relational data architecture, version control, and documentation via linked resources.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 — UBLC-CITEC/IT2B_CC105: Delivered foundational activity data model and resource linkage to enable early analytics and consistent data capture. Key feature delivered: an ERD-based database schema including Product, SALES, Time Table, EMP Table, and Customer Dimension, plus a linked activity resource screenshot via GoogleDriveLink.txt. All changes are tracked via Git commits (ERD Tables.sql; GoogleDriveLink.txt). Major bugs fixed: none reported in this period. Overall impact: establishes a scalable data foundation that supports dashboards, reporting, and downstream analytics, reducing integration risk and accelerating feature delivery. Technologies/skills demonstrated: SQL schema design, ERD modeling, relational data architecture, version control, and documentation via linked resources.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQLText
Technical Skills
Database DesignDocumentationERDSQL
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