ArianitHalimi/AIN_25
Mar 2025 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
Data ProcessingExcel GenerationFile HandlingPython ScriptingAlgorithm DesignAlgorithm Implementation
enis-halilaj
PROFILE
Enis-halilaj
Enis Halilaj developed data reporting and optimization features for the ArianitHalimi/AIN_25 repository, focusing on automating Excel report generation and library scheduling. He built a Python-based system that ingests instance data files, calculates key metrics, and produces formatted Excel reports, streamlining stakeholder insights and reducing manual effort. Enis implemented dynamic report creation and appending, robust error handling, and a modular Library class for scheduling. He integrated a Guided Local Search optimization solver to refine library selections under resource and time constraints. His work demonstrated depth in algorithm design, data processing, and Excel manipulation, resulting in maintainable, scalable, and reliable code.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
385
Activity Months2
Your Network
22 peopleSame Organization
@student.uni-pr.edu6
Work History
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for AIN_25: Focused on delivering robust data reporting and optimization features. Implemented dynamic Excel report creation/append with improved error handling, and a GLS-boosted library scheduling system with a dedicated Library class and data loading. Also introduced a GLS-based solver to refine selections within time/iteration limits. These efforts reduce manual reporting effort, improve data reliability, and enable scalable, data-driven scheduling decisions. Key technology stack includes Python, Excel I/O, and optimization techniques; outcomes include more robust reports, better scheduling quality, and maintainable, modular code.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for AIN_25: Focused on delivering robust data reporting and optimization features. Implemented dynamic Excel report creation/append with improved error handling, and a GLS-boosted library scheduling system with a dedicated Library class and data loading. Also introduced a GLS-based solver to refine selections within time/iteration limits. These efforts reduce manual reporting effort, improve data reliability, and enable scalable, data-driven scheduling decisions. Key technology stack includes Python, Excel I/O, and optimization techniques; outcomes include more robust reports, better scheduling quality, and maintainable, modular code.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for ArianitHalimi/AIN_25. Focused on delivering a self-contained data reporting feature that automates Excel report generation from instance data, enabling quick, shareable insights for stakeholders. No critical bugs reported; feature delivery completed with a focused commit set.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for ArianitHalimi/AIN_25. Focused on delivering a self-contained data reporting feature that automates Excel report generation from instance data, enabling quick, shareable insights for stakeholders. No critical bugs reported; feature delivery completed with a focused commit set.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm DesignAlgorithm ImplementationData AnalysisData ProcessingData StructuresExcel GenerationExcel ManipulationFile HandlingLocal SearchObject-Oriented ProgrammingOptimizationPython Scripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline