BU-Spark/ds-bcc-liz-breadon-accountability
Nov 2024 – Dec 2024
2 Months active
Languages Used
CSVJSONJupyter NotebookPythonIPYNBXLSX
Technical Skills
Data AnalysisData CleaningData EngineeringData EntryData ManagementData Visualization
AmrDevBU
PROFILE
Amrdevbu
Amr developed a unified data analytics foundation for the BU-Spark/ds-bcc-liz-breadon-accountability repository, focusing on student addresses, city services, and ZIP-code analyses. He consolidated and geocoded student address data, merged datasets for integrated reporting, and created Jupyter notebooks to visualize relationships between addresses and 311 service requests. Using Python and Pandas, Amr engineered data cleaning and enrichment pipelines, updated multi-year ZIP code population data, and maintained repository health through disciplined version control. In the following month, he restructured the project for maintainability, standardizing naming conventions and directory organization to streamline onboarding and support reproducible, scalable analytics workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
5
Lines of code
557,056
Activity Months2
Your Network
49 people
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 | Focused on stabilizing and codifying the data analysis workflow by restructuring the repository and standardizing naming conventions for consistency across notebooks, CSVs, and shapefiles. Delivered a major feature: Data Analysis Project Restructuring and Naming Consistency, consolidating analysis-related files under a new top-level 'Analysis' directory and renaming 'Districts' to 'Neighborhoods' to align with business vocabulary. This work lays the foundation for easier onboarding, reproducibility, and scalable analytics.
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 | Focused on stabilizing and codifying the data analysis workflow by restructuring the repository and standardizing naming conventions for consistency across notebooks, CSVs, and shapefiles. Delivered a major feature: Data Analysis Project Restructuring and Naming Consistency, consolidating analysis-related files under a new top-level 'Analysis' directory and renaming 'Districts' to 'Neighborhoods' to align with business vocabulary. This work lays the foundation for easier onboarding, reproducibility, and scalable analytics.
December 2024
November 2024
9 Commits • 4 Features
Nov 1, 2024Month: 2024-11 — BU-Spark/ds-bcc-liz-breadon-accountability. This month delivered an end-to-end data foundation and analytics capabilities for student addresses, city services, and ZIP-code analyses. Key outcomes include consolidating and enriching student address data with geocoding and a merged Student-and-SAM dataset to enable integrated reporting, and delivering analytics notebooks and visuals to explore relationships between addresses, 311 service requests, and housing distribution. Added violations data analytics notebooks focused on cleaning and analyzing ZIP codes, and updated multi-year ZIP code population counts to support dashboards and historical analyses. Impact: enables unified reporting, actionable city-service insights, and ready-to-use dashboards; improves data quality and readiness for business decisions. Technologies/skills demonstrated include data consolidation and merging, geocoding, Python notebooks, data visualization, ZIP-code analytics, and Git/version control for traceable data pipelines.
November 2024
9 Commits • 4 Features
Nov 1, 2024Month: 2024-11 — BU-Spark/ds-bcc-liz-breadon-accountability. This month delivered an end-to-end data foundation and analytics capabilities for student addresses, city services, and ZIP-code analyses. Key outcomes include consolidating and enriching student address data with geocoding and a merged Student-and-SAM dataset to enable integrated reporting, and delivering analytics notebooks and visuals to explore relationships between addresses, 311 service requests, and housing distribution. Added violations data analytics notebooks focused on cleaning and analyzing ZIP codes, and updated multi-year ZIP code population counts to support dashboards and historical analyses. Impact: enables unified reporting, actionable city-service insights, and ready-to-use dashboards; improves data quality and readiness for business decisions. Technologies/skills demonstrated include data consolidation and merging, geocoding, Python notebooks, data visualization, ZIP-code analytics, and Git/version control for traceable data pipelines.
Activity
Loading activity data...
Quality Metrics
Correctness96.4%
Maintainability96.4%
Architecture94.6%
Performance92.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVIPYNBJSONJupyter NotebookPythonXLSX
Technical Skills
Data AnalysisData CleaningData EngineeringData EntryData ManagementData OrganizationData VisualizationFile ManagementGeoJSONGeospatial AnalysisJupyter NotebooksMachine LearningPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline