racousin/data_science_practice_2025
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookPythonSQLText
Technical Skills
API IntegrationBeautifulSoupData AnalysisData CleaningData CollectionData Engineering
Camel-glitch
PROFILE
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Acrmalik5 developed four new features for the racousin/data_science_practice_2025 repository, focusing on end-to-end machine learning pipeline construction and utility tooling. They seeded user data to streamline onboarding workflows and introduced a reusable Python package, MySuperTools, for safe arithmetic operations. For Modules 3 and 4, Acrmalik5 built pipelines that integrated data from CSV, JSON, and APIs, handled missing values, engineered features, and trained linear regression models for sale price and quantity sold predictions. The work leveraged Python, Pandas, and Scikit-learn, demonstrating a methodical approach to data preprocessing, model training, and reproducible package development within a single month’s scope.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
4,353
Activity Months1
Your Network
22 people
Work History
September 2025
5 Commits • 4 Features
Sep 1, 2025Month: 2025-09 Scope: racousin/data_science_practice_2025; Feature delivery and ML pipeline development across modules. This month focused on seeding user data for Module1, introducing a reusable utility library, and building end-to-end ML pipelines for Module 3 (sale price) and Module 4 (quantity_sold).
5 Commits • 4 Features
Sep 1, 2025Month: 2025-09 Scope: racousin/data_science_practice_2025; Feature delivery and ML pipeline development across modules. This month focused on seeding user data for Module1, introducing a reusable utility library, and building end-to-end ML pipelines for Module 3 (sale price) and Module 4 (quantity_sold).
September 2025
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQLText
Technical Skills
API IntegrationBeautifulSoupData AnalysisData CleaningData CollectionData EngineeringData EntryData PreprocessingFeature EngineeringLinear RegressionMachine LearningPackage DevelopmentPandasPythonScikit-learn
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