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aliadilanielfayaz

PROFILE

Aliadilanielfayaz

Worked on the UNIKerp/sellingathome repository to design and implement a dedicated Gestion VDI data model, focusing on backend development and database modeling using Python and Odoo. Integrated the new model into sales and stock picking workflows, establishing a governance-ready data layer that links VDI contacts to delivery addresses for improved data consistency and fulfillment accuracy. Enhanced the model with refined domain constraints and added collaboration features such as mail thread and activity tracking, supporting better communication and task management. Emphasized data integrity, access controls, and cross-module integration, delivering two features over two months without reported bugs, and laying a scalable foundation.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
61
Activity Months2

Your Network

2 people

Shared Repositories

2
jasndeyeMember
sbadianeMember

Work History

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for UNIKerp/sellingathome. Focused on improving data model quality and cross-team collaboration by delivering a key feature update to the gestion.vdi model and integrating collaboration capabilities across the platform. This work enhances data integrity, communication, and task management, supporting faster decision-making and better operational visibility.

November 2024

2 Commits • 1 Features

Nov 1, 2024

Monthly summary for 2024-11 (UNIKerp/sellingathome): Delivered a dedicated Gestion VDI Data Model and integrated it into the order fulfillment workflow, establishing a governance-ready data layer that improves data accuracy and delivery reliability. Key outcomes include inheritance from gestion.vdi to create a Gestion VDI data model with VDI contacts and delivery addresses, integration into sales and stock picking processes, and manager access controls to enforce data governance. VDI contacts are now linked to delivery addresses to reduce data mismatches and support accurate fulfillment decisions. No major bugs were reported this month; emphasis was placed on feature delivery, data quality, and cross-module integration, laying a scalable foundation for VDI-driven fulfillment improvements.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Backend DevelopmentDatabase ModelingOdoo Development

Repositories Contributed To

1 repo

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

UNIKerp/sellingathome

Nov 2024 Dec 2024
2 Months active

Languages Used

Python

Technical Skills

Backend DevelopmentOdoo DevelopmentDatabase Modeling