
Worked on the BU-Spark/ds-bcc-liz-breadon-accountability repository to deliver a robust data cleaning and analysis pipeline focused on university housing data. Consolidated multiple Jupyter Notebooks into a unified workflow, standardized data formats, and established structured storage guidelines to improve maintainability and reproducibility. Enhanced documentation and dependency management using Python and Pandas, providing clear setup instructions and comprehensive docstrings. Introduced map-based data visualizations with Leaflet.js to enable location-aware insights into violations and incidents. Overhauled address parsing, data preparation, and model retraining scripts, streamlining the project structure and reducing manual troubleshooting to accelerate onboarding and support data-driven decision-making.
December 2024 monthly summary for BU-Spark/ds-bcc-liz-breadon-accountability. Focused on delivering key features, improving data robustness, and strengthening project maintainability to drive business value and accelerate onboarding.
December 2024 monthly summary for BU-Spark/ds-bcc-liz-breadon-accountability. Focused on delivering key features, improving data robustness, and strengthening project maintainability to drive business value and accelerate onboarding.
October 2024 monthly summary for BU-Spark/ds-bcc-liz-breadon-accountability. Delivered a streamlined, auditable data cleaning pipeline and repository hygiene to improve data quality, reproducibility, and transparency. Key outcomes include consolidation of notebooks, standardized data formats across university datasets (addresses, zip codes, level_of_study, full_time), a reproducible run environment with dependencies via requirements.txt and setup instructions, enhanced documentation and helper function docstrings, structured storage guidelines (raw, sorted, 311 folders), improved repository hygiene with updated gitignore and governance Readmes, and a comprehensive Project Midpoint report with a new analysis notebook. These efforts reduce manual troubleshooting, accelerate onboarding, and support data-driven decisions.
October 2024 monthly summary for BU-Spark/ds-bcc-liz-breadon-accountability. Delivered a streamlined, auditable data cleaning pipeline and repository hygiene to improve data quality, reproducibility, and transparency. Key outcomes include consolidation of notebooks, standardized data formats across university datasets (addresses, zip codes, level_of_study, full_time), a reproducible run environment with dependencies via requirements.txt and setup instructions, enhanced documentation and helper function docstrings, structured storage guidelines (raw, sorted, 311 folders), improved repository hygiene with updated gitignore and governance Readmes, and a comprehensive Project Midpoint report with a new analysis notebook. These efforts reduce manual troubleshooting, accelerate onboarding, and support data-driven decisions.

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