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Raul-Fikrat Azizli

PROFILE

Raul-fikrat Azizli

Worked on the BU-Spark/ds-bcc-liz-breadon-accountability repository to deliver a robust data cleaning and analysis pipeline focused on university housing data. Consolidated multiple Jupyter Notebooks into a unified workflow, standardized data formats, and established structured storage guidelines to improve maintainability and reproducibility. Enhanced documentation and dependency management using Python and Pandas, providing clear setup instructions and comprehensive docstrings. Introduced map-based data visualizations with Leaflet.js to enable location-aware insights into violations and incidents. Overhauled address parsing, data preparation, and model retraining scripts, streamlining the project structure and reducing manual troubleshooting to accelerate onboarding and support data-driven decision-making.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

23Total
Bugs
0
Commits
23
Features
8
Lines of code
371,796
Activity Months2

Work History

December 2024

13 Commits • 4 Features

Dec 1, 2024

December 2024 monthly summary for BU-Spark/ds-bcc-liz-breadon-accountability. Focused on delivering key features, improving data robustness, and strengthening project maintainability to drive business value and accelerate onboarding.

October 2024

10 Commits • 4 Features

Oct 1, 2024

October 2024 monthly summary for BU-Spark/ds-bcc-liz-breadon-accountability. Delivered a streamlined, auditable data cleaning pipeline and repository hygiene to improve data quality, reproducibility, and transparency. Key outcomes include consolidation of notebooks, standardized data formats across university datasets (addresses, zip codes, level_of_study, full_time), a reproducible run environment with dependencies via requirements.txt and setup instructions, enhanced documentation and helper function docstrings, structured storage guidelines (raw, sorted, 311 folders), improved repository hygiene with updated gitignore and governance Readmes, and a comprehensive Project Midpoint report with a new analysis notebook. These efforts reduce manual troubleshooting, accelerate onboarding, and support data-driven decisions.

Activity

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Quality Metrics

Correctness94.8%
Maintainability94.8%
Architecture93.0%
Performance89.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

GitJSONJupyter NotebookMarkdownPythonText

Technical Skills

Code RefactoringConfigurationData AnalysisData CleaningData ManagementData OrganizationData PreprocessingData StandardizationData VisualizationData WranglingDependency ManagementDocumentationFile ManagementGitJupyter Notebook

Repositories Contributed To

1 repo

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

BU-Spark/ds-bcc-liz-breadon-accountability

Oct 2024 Dec 2024
2 Months active

Languages Used

GitJupyter NotebookMarkdownPythonTextJSON

Technical Skills

Code RefactoringConfigurationData AnalysisData CleaningData ManagementData Standardization