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BaBurri

PROFILE

Baburri

Contributed to the compbiozurich/UZH-BIO392 repository by developing educational materials, analysis workflows, and comprehensive documentation to support genomics teaching and reproducible research. Established project scaffolding, onboarding guides, and refined module documentation to streamline student engagement and maintain repository hygiene. Built end-to-end Jupyter Notebooks and Python scripts for STR genotype analysis, including data wrangling with pandas, variant filtering, dimensionality reduction, clustering, and supervised classification. Enhanced CNV and VCF documentation, integrating domain standards and API usage guidance. Leveraged skills in Python, R, and data visualization libraries such as Matplotlib and Seaborn to deliver scalable, clear, and maintainable bioinformatics solutions.

Overall Statistics

Feature vs Bugs

93%Features

Repository Contributions

40Total
Bugs
1
Commits
40
Features
13
Lines of code
2,307
Activity Months2

Your Network

27 people

Shared Repositories

27
Your NameawildbergerMember
anaispradoMember
anschumaMember
AnoukMember
AyeshaMember
strebelindaMember
strebelindaMember
Emily MosbergerMember
GarfieldfeiMember

Work History

May 2025

12 Commits • 4 Features

May 1, 2025

May 2025 (compbiozurich/UZH-BIO392): Delivered a focused set of educational materials and end-to-end analysis workflows to support student learning, reproducibility, and practical data analysis in sequence analysis, VCF interpretation, STR genotype analysis, and CNV concepts. Key outputs include new documentation, notebooks, and Python scripts that enable end-to-end data processing, filtering, visualization, and basic predictive analytics on STR data, with an emphasis on onboarding, clarity, and scalable workflows suitable for Progenetix data integration and API usage.

April 2025

28 Commits • 9 Features

Apr 1, 2025

April 2025 results for compbiozurich/UZH-BIO392: established project scaffolding and onboarding documentation, expanded and refined BaBurri-related documentation across modules, and delivered learning-material updates. Also performed repository hygiene to ensure a clean, maintainable workspace and set foundation for reproducible analyses and rapid onboarding.

Activity

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Quality Metrics

Correctness95.0%
Maintainability94.6%
Architecture93.0%
Performance92.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

AWKBASHJSONJupyter NotebookMarkdownPythonRR MarkdownSQLShell

Technical Skills

BioinformaticsCommand Line InterfaceCost EstimationData AnalysisData Analysis DocumentationData CurationData StorageData VisualizationDatabase DocumentationDocumentationEducational Content CreationFile Format EvaluationGenetic AnalysisGenomic Data AnalysisGenomic Data Processing

Repositories Contributed To

1 repo

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

compbiozurich/UZH-BIO392

Apr 2025 May 2025
2 Months active

Languages Used

AWKMarkdownRR MarkdownBASHJSONJupyter NotebookPython

Technical Skills

BioinformaticsCost EstimationData AnalysisData Analysis DocumentationData CurationData Storage