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Camel-glitch

PROFILE

Camel-glitch

Worked on the racousin/data_science_practice_2025 repository, delivering four new features focused on machine learning pipeline development and data engineering. Developed user seed data to streamline onboarding processes and introduced a reusable Python utility library for safe arithmetic operations. Built end-to-end pipelines for sale price and quantity sold prediction, handling data collection, cleaning, feature engineering, and linear regression modeling using Python, Pandas, and Scikit-learn. Integrated multiple data sources, including CSV, JSON, and APIs, and ensured robust preprocessing for model training. The work emphasized modularity and reusability, supporting both user management and predictive analytics within a structured data science workflow.

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, 2025

Month: 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).

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

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

racousin/data_science_practice_2025

Sep 2025 Sep 2025
1 Month active

Languages Used

Jupyter NotebookPythonSQLText

Technical Skills

API IntegrationBeautifulSoupData AnalysisData CleaningData CollectionData Engineering