racousin/data_science_practice_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
CSVJupyter NotebookPythonSQLTOML
Technical Skills
Build System ConfigurationData CollectionData EngineeringData PreparationData PreprocessingData Science
ayouboa30
PROFILE
Ayouboa30
Over a two-month period, contributed to the racousin/data_science_practice_2025 repository by building and enhancing modular data science exercises and workflows. Developed foundational scaffolding, expanded practice modules, and implemented automated submission processes to streamline onboarding and ensure consistent project structure. Upgraded machine learning pipelines from PyTorch linear regression to XGBoost, integrating data splitting, scaling, model training, and evaluation within reproducible Jupyter Notebooks. Managed cross-module data assets and submission files, improving data lineage and validation. Leveraged Python, Pandas, and Scikit-learn to deliver end-to-end solutions for data collection, preprocessing, and visualization, while maintaining code quality through comprehensive testing and repository cleanup.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
28Total
Bugs
0
Commits
28
Features
14
Lines of code
21,836
Activity Months2
Your Network
22 peopleShared Repositories
22
Work History
October 2025
7 Commits • 4 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on key features delivered, major bugs fixed, impact, and skills demonstrated. Highlights include end-to-end ML pipeline upgrades, cross-module submission data management, and data quality exploration. No major defects reported this month; stabilization and automation improved reproducibility and business value.
7 Commits • 4 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on key features delivered, major bugs fixed, impact, and skills demonstrated. Highlights include end-to-end ML pipeline upgrades, cross-module submission data management, and data quality exploration. No major defects reported this month; stabilization and automation improved reproducibility and business value.
October 2025
September 2025
21 Commits • 10 Features
Sep 1, 2025September 2025 monthly summary for racousin/data_science_practice_2025. Delivered foundational scaffolding, enhanced core modules, expanded Module 3 exercises and tests, implemented submission workflow, added data assets, and performed substantial repo cleanup to improve maintainability and scalability. The work enables faster onboarding, consistent packaging, reliable core logic, broader practice content, and streamlined submission workflows.
September 2025
21 Commits • 10 Features
Sep 1, 2025September 2025 monthly summary for racousin/data_science_practice_2025. Delivered foundational scaffolding, enhanced core modules, expanded Module 3 exercises and tests, implemented submission workflow, added data assets, and performed substantial repo cleanup to improve maintainability and scalability. The work enables faster onboarding, consistent packaging, reliable core logic, broader practice content, and streamlined submission workflows.
Activity
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Quality Metrics
Correctness80.8%
Maintainability82.0%
Architecture76.4%
Performance80.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPythonSQLTOML
Technical Skills
Build System ConfigurationData AnalysisData CollectionData EngineeringData EntryData ManagementData PreparationData PreprocessingData ScienceData UpdateData ValidationData VisualizationDeep LearningMachine LearningMatplotlib
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline