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Julia Schaffner

PROFILE

Julia Schaffner

Julia Schaffner contributed to the arvindkrishna87/STAT390_LegalAid_Fall2025 repository by developing data preparation notebooks and enhancing project documentation over a two-month period. She built Python-based workflows using Jupyter Notebook and Pandas to organize activity data into hierarchical structures, enabling session-level datasets for advanced Power BI dashboard filtering. Julia also delivered and updated multiple TimeTrends dashboard presentations, ensuring clear artifact governance and consistent naming conventions. Her work focused on improving data readiness and documentation clarity, which streamlined onboarding and reporting cycles. The depth of her contributions is reflected in the integration of data engineering, visualization, and documentation best practices throughout the project.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

17Total
Bugs
0
Commits
17
Features
5
Lines of code
551
Activity Months2

Work History

October 2025

15 Commits • 4 Features

Oct 1, 2025

October 2025 performance summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered enhanced TimeTrends dashboards and supporting assets, expanded Power BI data preparation for hierarchical filtering, and refreshed project documentation. Strengthened artifact governance and documentation hygiene to enable faster reporting cycles and clearer data governance. No major bugs reported this month; focus was on feature delivery and data readiness.

September 2025

2 Commits • 1 Features

Sep 1, 2025

Month: 2025-09 – Key accomplishments focused on documentation improvements in arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered a clearly named project document to improve onboarding, discoverability, and maintainability. No major bugs fixed this month. Overall impact: faster handoffs, clearer artifacts, and stronger project governance. Technologies/skills demonstrated include documentation standards, version-controlled changes, and naming convention enforcement for project artifacts.

Activity

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Quality Metrics

Correctness95.2%
Maintainability95.2%
Architecture95.2%
Performance94.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonSQL

Technical Skills

Data AnalysisData CleaningData PreparationData TransformationData VisualizationDocumentationJupyter NotebookPandasPower BIPython

Repositories Contributed To

1 repo

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

arvindkrishna87/STAT390_LegalAid_Fall2025

Sep 2025 Oct 2025
2 Months active

Languages Used

PythonSQL

Technical Skills

Data AnalysisData CleaningData PreparationData TransformationData VisualizationDocumentation

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