arvindkrishna87/STAT390_LegalAid_Fall2025
Sep 2025 – Dec 2025
4 Months active
Languages Used
Jupyter NotebookPythonJavaScriptMarkdownNonePower BI
Technical Skills
Data AnalysisData VisualizationData WranglingDocumentationJupyter NotebookMatplotlib
jam2miller
PROFILE
Jam2miller
Developed and maintained the STAT390_LegalAid_Fall2025 repository over four months, delivering seven features focused on data analytics and documentation. Built end-to-end analytics pipelines using Python, Pandas, and Jupyter Notebook to process, analyze, and visualize queue and call data, supporting business intelligence and operational improvements. Enhanced documentation practices by standardizing naming conventions and improving onboarding materials, ensuring reproducibility and accessibility for stakeholders. Integrated Power BI dashboards and presentation resources to facilitate reporting and stakeholder engagement. Iteratively refined code and documentation through Git-based collaboration, emphasizing maintainability and clarity. No bugs were reported or fixed, reflecting a focus on feature delivery and documentation quality.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
25Total
Bugs
0
Commits
25
Features
7
Lines of code
173,704
Activity Months4
Your Network
134 peopleSame Organization
@u.northwestern.edu112
Work History
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Key feature delivered: Car Call Data Analytics and Senior Menu Optimization. Consolidated notebooks to analyze car service call data and senior caller behavior, including data imports, filtering, time-based activity patterns, and before/after comparisons. Code iterations stabilized the analytics pipeline and refined findings; updated codebase to reflect insights. Documentation updates captured insights, next steps, and prepared for group review; presentation materials to be shared shortly. Business value: enabled data-driven improvements to call flows and senior UX, supporting more efficient operations and better service experiences. Technologies/skills demonstrated: Python data analysis (Pandas), Jupyter notebooks, data wrangling (imports, filtering), time-series analysis, markdown documentation, and Git-based collaboration.
4 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Key feature delivered: Car Call Data Analytics and Senior Menu Optimization. Consolidated notebooks to analyze car service call data and senior caller behavior, including data imports, filtering, time-based activity patterns, and before/after comparisons. Code iterations stabilized the analytics pipeline and refined findings; updated codebase to reflect insights. Documentation updates captured insights, next steps, and prepared for group review; presentation materials to be shared shortly. Business value: enabled data-driven improvements to call flows and senior UX, supporting more efficient operations and better service experiences. Technologies/skills demonstrated: Python data analysis (Pandas), Jupyter notebooks, data wrangling (imports, filtering), time-series analysis, markdown documentation, and Git-based collaboration.
December 2025
November 2025
10 Commits • 2 Features
Nov 1, 2025November 2025 summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered the Queue Analytics Suite with end-to-end analytics capabilities (Jupyter notebooks for queue abandonment and call-time analysis), a Power BI queue analysis dashboard, and Excel export for downstream analysis. Enhanced documentation, clarified labeling, and ensured accessibility of analytics resources. Added presentation resources and updated links to support stakeholder demonstrations and onboarding of analytics assets. All work committed and organized for maintainability.
November 2025
10 Commits • 2 Features
Nov 1, 2025November 2025 summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered the Queue Analytics Suite with end-to-end analytics capabilities (Jupyter notebooks for queue abandonment and call-time analysis), a Power BI queue analysis dashboard, and Excel export for downstream analysis. Enhanced documentation, clarified labeling, and ensured accessibility of analytics resources. Added presentation resources and updated links to support stakeholder demonstrations and onboarding of analytics assets. All work committed and organized for maintainability.
October 2025
8 Commits • 3 Features
Oct 1, 2025Month: 2025-10 -- concise monthly summary focusing on key features delivered, major fixes, impact, and technologies demonstrated for performance review.
8 Commits • 3 Features
Oct 1, 2025Month: 2025-10 -- concise monthly summary focusing on key features delivered, major fixes, impact, and technologies demonstrated for performance review.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Focused on establishing solid project documentation discipline. Key accomplishment: Jake Miller Project Documentation Setup and Naming Convention Update, including adding Jake_Miller.pdf to Documentation and finalizing with Jake_Miller_ProjectDocumentation.pdf to reflect standard naming conventions. Major bugs fixed: none reported this month. Overall impact: improved onboarding, testing readiness, and governance; artifacts now align with project standards. Technologies/skills demonstrated: Git version control, documentation governance, naming conventions, Markdown/Docs management, collaboration.
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Focused on establishing solid project documentation discipline. Key accomplishment: Jake Miller Project Documentation Setup and Naming Convention Update, including adding Jake_Miller.pdf to Documentation and finalizing with Jake_Miller_ProjectDocumentation.pdf to reflect standard naming conventions. Major bugs fixed: none reported this month. Overall impact: improved onboarding, testing readiness, and governance; artifacts now align with project standards. Technologies/skills demonstrated: Git version control, documentation governance, naming conventions, Markdown/Docs management, collaboration.
Activity
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Quality Metrics
Correctness91.2%
Maintainability91.2%
Architecture90.4%
Performance86.4%
AI Usage20.8%
Skills & Technologies
Programming Languages
JavaScriptJupyter NotebookMarkdownNonePower BIPython
Technical Skills
Data AnalysisData VisualizationData WranglingDocumentationJupyter NotebookMatplotlibNumPyPandasPythonScikit-learnSeabornUI/UX designbusiness intelligencedata analysisdata cleaning
Repositories Contributed To
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