racousin/data_science_practice_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
CSVHTMLJupyter NotebookNonePythonTOMLTextShell
Technical Skills
Build System ConfigurationBuild SystemsCode DeletionCode RefactoringData CleaningData Engineering
Kassim BERTHE
PROFILE
Kassim Berthe
During two months on the racousin/data_science_practice_2025 repository, Kassim Berthe developed modular data science workflows and improved repository structure. He established Python package scaffolding, stabilized user file handling, and removed obsolete artifacts to reduce technical debt. Kassim set up unified data ingestion and exploratory analysis pipelines using Python and Pandas, and standardized datasets across modules to streamline forecasting and analysis tasks. He enhanced model preparation and evaluation by implementing cross-validation and custom metrics with Scikit-learn and LightGBM. His work emphasized reproducibility, maintainability, and robust data engineering, resulting in cleaner onboarding, improved data quality, and more efficient model assessment processes.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
33Total
Bugs
5
Commits
33
Features
9
Lines of code
21,524
Activity Months2
Your Network
22 people
Work History
October 2025
11 Commits • 4 Features
Oct 1, 2025October 2025 performance summary for racousin/data_science_practice_2025 highlighting delivered features, dataset readiness across modules, and improvements to data quality and evaluation workflows. Focused on building scalable data pipelines, reproducible datasets, and robust modeling evaluation to drive forecasting accuracy and faster turn-around times for analyses.
11 Commits • 4 Features
Oct 1, 2025October 2025 performance summary for racousin/data_science_practice_2025 highlighting delivered features, dataset readiness across modules, and improvements to data quality and evaluation workflows. Focused on building scalable data pipelines, reproducible datasets, and robust modeling evaluation to drive forecasting accuracy and faster turn-around times for analyses.
October 2025
September 2025
22 Commits • 5 Features
Sep 1, 2025September 2025 monthly summary for racousin/data_science_practice_2025: Delivered foundational scaffolding and packaging for Module 1, stabilized user file handling, eliminated obsolete artifacts, and advanced Module 3 with Exercise 1 and full file set, plus branch maintenance. Improved onboarding, modularization, and readiness for module assessments; reduced technical debt and improved repo hygiene; demonstrated Python packaging, refactoring, and cross-branch coordination across modules.
September 2025
22 Commits • 5 Features
Sep 1, 2025September 2025 monthly summary for racousin/data_science_practice_2025: Delivered foundational scaffolding and packaging for Module 1, stabilized user file handling, eliminated obsolete artifacts, and advanced Module 3 with Exercise 1 and full file set, plus branch maintenance. Improved onboarding, modularization, and readiness for module assessments; reduced technical debt and improved repo hygiene; demonstrated Python packaging, refactoring, and cross-branch coordination across modules.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture92.8%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVHTMLJupyter NotebookNonePythonShellTOMLText
Technical Skills
BeautifulSoupBuild System ConfigurationBuild SystemsCode DeletionCode RefactoringCross-validationData AnalysisData CleaningData EngineeringData EntryData IntegrationData LoadingData PreprocessingData ScienceData Visualization
Repositories Contributed To
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