arvindkrishna87/STAT390_LegalAid_Fall2025
Sep 2025 – Dec 2025
4 Months active
Languages Used
JSONJupyter NotebookPythonMarkdownPDF
Technical Skills
Data AnalysisData CleaningData ScienceData VisualizationData WranglingDocumentation
adamsahns
PROFILE
Adamsahns
Adam Sahn developed end-to-end data analysis and documentation workflows for the arvindkrishna87/STAT390_LegalAid_Fall2025 repository over four months, focusing on telephony call data for legal aid services. He built Jupyter notebooks in Python using Pandas and Seaborn to process, clean, and visualize call records, enabling abandoned-call detection and menu-type activity summaries. Adam enhanced data pipelines for IVR routing analysis and verbiage studies, producing dashboard-ready outputs and actionable insights for staffing and operations. He prioritized maintainable documentation, establishing naming conventions and artifact traceability, which improved onboarding and project clarity. The work demonstrated depth in data engineering and reproducible analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
22Total
Bugs
0
Commits
22
Features
7
Lines of code
133,785
Activity Months4
Your Network
94 peopleWork History
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for arvindkrishna87/STAT390_LegalAid_Fall2025: delivered analytical capabilities and completed critical documentation updates, focusing on business value and maintainability. Key features delivered: - Call Data Analysis Notebook for Telephony Endpoints: a Jupyter notebook to analyze call data across endpoints, identify abandoned calls, summarize activity by menu type, and provide data cleaning, processing, and visualization steps to help understand call patterns and outcomes. - Documentation Update: Finalized project documentation to improve clarity and completeness for users and developers. Major bugs fixed: - No major bugs fixed this month; focus was on feature delivery and documentation. Overall impact and accomplishments: - Provides data-driven insights into call patterns, enabling optimization of telephony flows and improved user outcomes. - Strengthens the team's ability to perform rapid, end-to-end analysis of telephony data and communicate changes effectively. Technologies/skills demonstrated: - Python/Jupyter data analysis, data cleaning and processing, and visualization. - Documentation best practices and repository maintenance. - End-to-end data analysis workflow aligned with business goals.
2 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for arvindkrishna87/STAT390_LegalAid_Fall2025: delivered analytical capabilities and completed critical documentation updates, focusing on business value and maintainability. Key features delivered: - Call Data Analysis Notebook for Telephony Endpoints: a Jupyter notebook to analyze call data across endpoints, identify abandoned calls, summarize activity by menu type, and provide data cleaning, processing, and visualization steps to help understand call patterns and outcomes. - Documentation Update: Finalized project documentation to improve clarity and completeness for users and developers. Major bugs fixed: - No major bugs fixed this month; focus was on feature delivery and documentation. Overall impact and accomplishments: - Provides data-driven insights into call patterns, enabling optimization of telephony flows and improved user outcomes. - Strengthens the team's ability to perform rapid, end-to-end analysis of telephony data and communicate changes effectively. Technologies/skills demonstrated: - Python/Jupyter data analysis, data cleaning and processing, and visualization. - Documentation best practices and repository maintenance. - End-to-end data analysis workflow aligned with business goals.
December 2025
November 2025
9 Commits • 2 Features
Nov 1, 2025For 2025-11, delivered end-to-end call abandonment analytics capabilities for the STAT390_LegalAid_Fall2025 project, focusing on employment and legal aid services (including HIV, immigration, and general employment contexts). Implemented notebooks and data-processing pipelines to categorize abandoned calls, added helper functions to mark sessions, and produced data summaries to drive actionable insights and staffing decisions. Updated project documentation and notebook naming to reflect abandonment analysis scope, improving onboarding and maintainability. No major bugs fixed this month; emphasis was on feature delivery and documentation.
November 2025
9 Commits • 2 Features
Nov 1, 2025For 2025-11, delivered end-to-end call abandonment analytics capabilities for the STAT390_LegalAid_Fall2025 project, focusing on employment and legal aid services (including HIV, immigration, and general employment contexts). Implemented notebooks and data-processing pipelines to categorize abandoned calls, added helper functions to mark sessions, and produced data summaries to drive actionable insights and staffing decisions. Updated project documentation and notebook naming to reflect abandonment analysis scope, improving onboarding and maintainability. No major bugs fixed this month; emphasis was on feature delivery and documentation.
October 2025
9 Commits • 2 Features
Oct 1, 2025Month 2025-10 — STAT390_LegalAid_Fall2025: Two major feature deliveries with clear business value, plus strengthened documentation and data assets. 1) Call Data Analysis Workflow Enhancements: refined data import/analysis notebooks, updated file paths, execution counts, and column metadata; added code to save processed data to a designated directory for easier extraction of insights and dashboard-ready outputs; included IVR routing and user behavior analysis (Voicemail vs Other) to guide agent routing improvements. 2) Verbiage Analysis Assets and Documentation: created Verbiage Work notebook, added CallJourneyVerbiage_7Oct_Adam.pdf, and updated/renamed related PDFs and presentations to support verbiage analysis deliverables and project documentation. Major bugs fixed: none reported as major this month. Overall impact: improved data reliability and accessibility for dashboards, enabling faster, data-informed decisions and better agent routing; strengthened governance and clarity around verbiage analysis and project documentation. Technologies/skills demonstrated: Python data notebooks and pipelines, data import/analysis, metadata management, IVR analytics, Jupyter/notebook work, PDF/doc generation, and Git-based collaboration with documentation updates.
9 Commits • 2 Features
Oct 1, 2025Month 2025-10 — STAT390_LegalAid_Fall2025: Two major feature deliveries with clear business value, plus strengthened documentation and data assets. 1) Call Data Analysis Workflow Enhancements: refined data import/analysis notebooks, updated file paths, execution counts, and column metadata; added code to save processed data to a designated directory for easier extraction of insights and dashboard-ready outputs; included IVR routing and user behavior analysis (Voicemail vs Other) to guide agent routing improvements. 2) Verbiage Analysis Assets and Documentation: created Verbiage Work notebook, added CallJourneyVerbiage_7Oct_Adam.pdf, and updated/renamed related PDFs and presentations to support verbiage analysis deliverables and project documentation. Major bugs fixed: none reported as major this month. Overall impact: improved data reliability and accessibility for dashboards, enabling faster, data-informed decisions and better agent routing; strengthened governance and clarity around verbiage analysis and project documentation. Technologies/skills demonstrated: Python data notebooks and pipelines, data import/analysis, metadata management, IVR analytics, Jupyter/notebook work, PDF/doc generation, and Git-based collaboration with documentation updates.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 – STAT390_LegalAid_Fall2025: Focused on documentation artifact delivery and repo hygiene to improve onboarding, maintainability, and stakeholder clarity. Delivered structured project documentation for Adam Sahn and established clear naming conventions; no major bugs reported; preparing the project for smoother handoffs and ongoing maintenance.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 – STAT390_LegalAid_Fall2025: Focused on documentation artifact delivery and repo hygiene to improve onboarding, maintainability, and stakeholder clarity. Delivered structured project documentation for Adam Sahn and established clear naming conventions; no major bugs reported; preparing the project for smoother handoffs and ongoing maintenance.
Activity
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Quality Metrics
Correctness87.2%
Maintainability87.2%
Architecture85.4%
Performance83.6%
AI Usage22.8%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPDFPython
Technical Skills
Data AnalysisData CleaningData ScienceData VisualizationData WranglingDocumentationJupyter NotebookMatplotlibPandasPythonSeaborndata analysisdata cleaningdata visualizationdocumentation
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