BU-Spark/ds-bcc-liz-breadon-accountability
Oct 2024 – Dec 2024
3 Months active
Languages Used
Jupyter NotebookPythonCSVGeoJSONMarkdown
Technical Skills
Data AnalysisAPI IntegrationData ProcessingGeocodingPandasRequests
Amruth
PROFILE
Amruth
Amruth Devineni developed geospatial analytics and data integration features for the BU-Spark/ds-bcc-liz-breadon-accountability repository, focusing on scalable address geocoding and interactive data visualization. He established foundational geolocation workflows using Python and Pandas, implementing batch geocoding with the US Census Geocoder API and integrating student address data from multiple sources. Amruth built an interactive Streamlit-based choropleth map to visualize Boston neighborhood violations, enhancing data accessibility for accountability initiatives. He also improved project structure and documentation, reorganizing Jupyter Notebooks and assets to streamline data preparation and reporting. The work demonstrated depth in geospatial analysis, code organization, and reproducibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
6
Lines of code
134,890
Activity Months3
Your Network
5 people
Work History
December 2024
13 Commits • 4 Features
Dec 1, 2024December 2024 performance highlights for BU-Spark/ds-bcc-liz-breadon-accountability: Delivered user-facing analytics features and essential repo scaffolding that enhance data accessibility, reproducibility, and business value for accountability initiatives. Notable outcomes include an interactive Boston neighborhood violations map (choropleth) with tooltips showing top violation categories by neighborhood, a centralized link to the final combined dataset hosted on Google Sheets, and comprehensive project structure improvements to streamline data preparation and reporting. Documentation and asset management were updated to support reference materials and visual assets, improving maintainability and collaboration.
13 Commits • 4 Features
Dec 1, 2024December 2024 performance highlights for BU-Spark/ds-bcc-liz-breadon-accountability: Delivered user-facing analytics features and essential repo scaffolding that enhance data accessibility, reproducibility, and business value for accountability initiatives. Notable outcomes include an interactive Boston neighborhood violations map (choropleth) with tooltips showing top violation categories by neighborhood, a centralized link to the final combined dataset hosted on Google Sheets, and comprehensive project structure improvements to streamline data preparation and reporting. Documentation and asset management were updated to support reference materials and visual assets, improving maintainability and collaboration.
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 2024Performance summary for 2024-11: Delivered a batch address geocoding workflow and supporting data assets, enabling scalable geocoding and data integration. No defects closed this month; however, introduced notebooks and assets to improve reliability and data readiness for analytics.
November 2024
2 Commits • 1 Features
Nov 1, 2024Performance summary for 2024-11: Delivered a batch address geocoding workflow and supporting data assets, enabling scalable geocoding and data integration. No defects closed this month; however, introduced notebooks and assets to improve reliability and data readiness for analytics.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 Key features delivered: - Geolocation groundwork for addresses in BU-Spark/ds-bcc-liz-breadon-accountability. Implemented a new Jupyter Notebook to support location-based features (mapping, routing, analytics). This is foundational work; no existing files were changed in this commit. Major bugs fixed: - No bugs fixed this month. Focus was on feature groundwork to enable downstream capabilities. Overall impact and accomplishments: - Establishes the geospatial foundation for the product, enabling location-aware analytics and mapping workflows. Sets the stage for scalable geolocation features and improved decision-making with geospatial data. Technologies/skills demonstrated: - Python, Jupyter Notebook, geolocation data processing, version control (Git), and repository contribution hygiene.
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 Key features delivered: - Geolocation groundwork for addresses in BU-Spark/ds-bcc-liz-breadon-accountability. Implemented a new Jupyter Notebook to support location-based features (mapping, routing, analytics). This is foundational work; no existing files were changed in this commit. Major bugs fixed: - No bugs fixed this month. Focus was on feature groundwork to enable downstream capabilities. Overall impact and accomplishments: - Establishes the geospatial foundation for the product, enabling location-aware analytics and mapping workflows. Sets the stage for scalable geolocation features and improved decision-making with geospatial data. Technologies/skills demonstrated: - Python, Jupyter Notebook, geolocation data processing, version control (Git), and repository contribution hygiene.
October 2024
Activity
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Quality Metrics
Correctness83.8%
Maintainability83.8%
Architecture83.8%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVGeoJSONJupyter NotebookMarkdownPython
Technical Skills
API IntegrationCode OrganizationData AnalysisData ProcessingData VisualizationDocumentationFile ManagementFoliumGeoPandasGeocodingGeospatial AnalysisPandasProject ManagementRequestsStreamlit
Repositories Contributed To
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