EXCEEDS logo
Exceeds
aliadilanielfayaz

PROFILE

Aliadilanielfayaz

Ali Adilani El Fayaz developed and integrated a dedicated Gestion VDI data model within the UNIKerp/sellingathome repository, focusing on backend development and database modeling using Python and Odoo. He established a governance-ready data layer by inheriting from existing models, linking VDI contacts to delivery addresses, and embedding the model into sales and stock picking workflows to improve fulfillment accuracy. His work included refining domain constraints, adding collaboration features like mail thread and activity tracking, and implementing manager access controls. Over two months, Ali delivered two features that enhanced data integrity, operational visibility, and cross-module integration without introducing or fixing bugs.

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

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

Loading activity data...

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

Generated by Exceeds AIThis report is designed for sharing and indexing