IIC2233/Syllabus
Aug 2025 – Apr 2026
5 Months active
Languages Used
Jupyter NotebookMarkdownPythonCSVJSONPowerPointpython
Technical Skills
Data AnalysisData StructuresDictionariesDocumentationFile I/OInheritance
CLEMENTE CAMPOS
PROFILE
Clemente Campos
Over several months, contributed to the IIC2233/Syllabus repository by developing a range of educational tools and simulations focused on backend systems, data analytics, and interactive learning modules. Built features such as a smart home simulator with GUI and authentication, a Pokémon API web server using Flask, and a social media application with user profiles and story sharing. Leveraged Python, CSV, and Jupyter Notebook to implement data processing pipelines, concurrency patterns with threading and locks, and functional programming exercises. Emphasized robust unit testing, modular design, and clear documentation, resulting in maintainable code that supports both student engagement and scalable educational content.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
32Total
Bugs
0
Commits
32
Features
24
Lines of code
25,589
Activity Months5
Your Network
28 peopleShared Repositories
11
Agustin BeckerMember
Antonio LopezMember
3rdPixMember
Cristian RuzMember
lily416Member
Fran IbarraMember
Juan José Sánchez MedinaMember
JaimeMember
StroveLightMember
Work History
April 2026
7 Commits • 4 Features
Apr 1, 2026Monthly summary for 2026-04 - IIC2233/Syllabus. Delivered four major features across the repository, emphasizing student engagement, reliability, and scalable techniques. Notable outcomes include user profiles and story sharing with complete authentication and data management integration; robust server simulations with improved error handling and grid-based movement; functional programming exercise modules leveraging generators and core FP concepts; and threading-based simulations and exercises that demonstrate concurrency patterns and resilient race scenarios. These efforts collectively improve learning outcomes by providing interactive tools and robust, scalable code foundations.
7 Commits • 4 Features
Apr 1, 2026Monthly summary for 2026-04 - IIC2233/Syllabus. Delivered four major features across the repository, emphasizing student engagement, reliability, and scalable techniques. Notable outcomes include user profiles and story sharing with complete authentication and data management integration; robust server simulations with improved error handling and grid-based movement; functional programming exercise modules leveraging generators and core FP concepts; and threading-based simulations and exercises that demonstrate concurrency patterns and resilient race scenarios. These efforts collectively improve learning outcomes by providing interactive tools and robust, scalable code foundations.
April 2026
March 2026
6 Commits • 5 Features
Mar 1, 2026March 2026 monthly summary for IIC2233/Syllabus focused on delivering core features and enhancing educational resources, data analytics capabilities, and simulation tooling. This period prioritized end-to-end feature delivery with clear business value for students and educators, while maintaining code quality and modular design.
March 2026
6 Commits • 5 Features
Mar 1, 2026March 2026 monthly summary for IIC2233/Syllabus focused on delivering core features and enhancing educational resources, data analytics capabilities, and simulation tooling. This period prioritized end-to-end feature delivery with clear business value for students and educators, while maintaining code quality and modular design.
October 2025
5 Commits • 3 Features
Oct 1, 2025October 2025: Delivered three business-value features in IIC2233/Syllabus, strengthening user experience, security, and API/education foundations. The Smart Home Simulator provides a GUI with password-protected access and frontend-backend integration, enabling realistic interaction and media controls. The threaded concurrency projects (Pizzeria and DCClub) demonstrate scalable parallel processing with queues and locks, supplemented by an educational PDF resource. The Pokémon API Web Server delivers a RESTful Python Flask service for Pokémon data, types, and battles with thorough test coverage and authorization routing decisions. These efforts collectively improve customer-facing UX, teaching value, and a reusable codebase for concurrent patterns and API design.
5 Commits • 3 Features
Oct 1, 2025October 2025: Delivered three business-value features in IIC2233/Syllabus, strengthening user experience, security, and API/education foundations. The Smart Home Simulator provides a GUI with password-protected access and frontend-backend integration, enabling realistic interaction and media controls. The threaded concurrency projects (Pizzeria and DCClub) demonstrate scalable parallel processing with queues and locks, supplemented by an educational PDF resource. The Pokémon API Web Server delivers a RESTful Python Flask service for Pokémon data, types, and battles with thorough test coverage and authorization routing decisions. These efforts collectively improve customer-facing UX, teaching value, and a reusable codebase for concurrent patterns and API design.
October 2025
September 2025
6 Commits • 6 Features
Sep 1, 2025September 2025 focused on delivering feature-rich modules for IIC2233/Syllabus, emphasizing data processing, simulation capabilities, and educational tooling. Delivered Python-based implementations for train simulation, cargo management, priority queuing, and exception-aware learning modules, complemented by Jupyter Notebooks for functional programming and midterm review. All features are underpinned by unit tests and robust data loading, ensuring data integrity, scalability, and maintainability. The work enhances operational realism, student learning outcomes, and the repo's overall technical quality, positioning the project for broader adoption and easier maintenance.
September 2025
6 Commits • 6 Features
Sep 1, 2025September 2025 focused on delivering feature-rich modules for IIC2233/Syllabus, emphasizing data processing, simulation capabilities, and educational tooling. Delivered Python-based implementations for train simulation, cargo management, priority queuing, and exception-aware learning modules, complemented by Jupyter Notebooks for functional programming and midterm review. All features are underpinned by unit tests and robust data loading, ensuring data integrity, scalability, and maintainability. The work enhances operational realism, student learning outcomes, and the repo's overall technical quality, positioning the project for broader adoption and easier maintenance.
August 2025
8 Commits • 6 Features
Aug 1, 2025In August 2025, IIC2233/Syllabus delivered a cohesive set of features that modernize course delivery, expand application capabilities, and strengthen testing coverage. Key outcomes include: 1) Ayudantías Materials Refresh for New Semester – updated AY01 presentation and README with current TAs to ensure accurate course materials for the new term; 2) E-commerce System with Subscriptions and Rewards – implemented user and item models, a cart, and a points system with double-points for subscribed users, supported by unit and integration tests to validate business rules; 3) Ayudantía 02 Notebook: Data Structures and Browser Exercise – delivered a Jupyter Notebook focusing on stacks, dictionaries, and named tuples with a browser exercise to reinforce practical data-structure concepts; 4) DCChrome Browser Simulation Enhancements – refactored to leverage advanced data structures (stacks for navigation, dictionaries for permissions, named tuples for site representation) to improve functionality, security, and maintainability; 5) Anime Data Analytics Module – introduced a Python module for data loading, analysis, and queries with a comprehensive unit test suite to ensure reliability. Overall impact includes up-to-date course materials, stronger system-building capabilities, and expanded test coverage that support faster iteration and higher quality releases.
8 Commits • 6 Features
Aug 1, 2025In August 2025, IIC2233/Syllabus delivered a cohesive set of features that modernize course delivery, expand application capabilities, and strengthen testing coverage. Key outcomes include: 1) Ayudantías Materials Refresh for New Semester – updated AY01 presentation and README with current TAs to ensure accurate course materials for the new term; 2) E-commerce System with Subscriptions and Rewards – implemented user and item models, a cart, and a points system with double-points for subscribed users, supported by unit and integration tests to validate business rules; 3) Ayudantía 02 Notebook: Data Structures and Browser Exercise – delivered a Jupyter Notebook focusing on stacks, dictionaries, and named tuples with a browser exercise to reinforce practical data-structure concepts; 4) DCChrome Browser Simulation Enhancements – refactored to leverage advanced data structures (stacks for navigation, dictionaries for permissions, named tuples for site representation) to improve functionality, security, and maintainability; 5) Anime Data Analytics Module – introduced a Python module for data loading, analysis, and queries with a comprehensive unit test suite to ensure reliability. Overall impact includes up-to-date course materials, stronger system-building capabilities, and expanded test coverage that support faster iteration and higher quality releases.
August 2025
Activity
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Quality Metrics
Correctness87.8%
Maintainability85.4%
Architecture86.2%
Performance82.6%
AI Usage21.2%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookMarkdownPowerPointPythonpython
Technical Skills
API DevelopmentBackend DevelopmentCSV ParsingCSV ProcessingConcurrencyData AnalysisData FilteringData LoadingData SerializationData StructuresData structuresDictionariesDocumentationEvent HandlingException Handling
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