codeforboston/boston-liquor-license-tracker
Jan 2026 – Feb 2026
2 Months active
Languages Used
Python
Technical Skills
API integrationJSON handlingPythondata processingweb scrapingData Extraction
Dan Higgins
PROFILE
Dan Higgins
Daniel Higgins developed core data processing features for the codeforboston/boston-liquor-license-tracker repository, focusing on automated extraction and normalization of licensing data from PDF documents. He engineered a PDF scraper that converts unstructured text into structured JSON, enabling downstream analytics and improving data accessibility. Leveraging Python, Daniel rebuilt the project’s scaffolding to streamline onboarding and standardized environment setup. He also introduced a modular PDF processing pipeline with a plugin architecture, allowing targeted post-processing without altering core logic. By implementing address normalization using the Boston SAM dataset, Daniel enhanced data quality and established a foundation for scalable, maintainable document processing workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
5,905
Activity Months2
Your Network
12 peopleWork History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for codeforboston/boston-liquor-license-tracker focused on data quality improvements and extensible processing architecture. Delivered two major features that set up safer, scalable data workflows and established a foundation for future bug fixes without risking core logic.
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for codeforboston/boston-liquor-license-tracker focused on data quality improvements and extensible processing architecture. Delivered two major features that set up safer, scalable data workflows and established a foundation for future bug fixes without risking core logic.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments for codeforboston/boston-liquor-license-tracker. Delivered a robust data ingestion component and improved project onboarding and maintainability, enabling automated licensing data extraction and downstream analytics.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments for codeforboston/boston-liquor-license-tracker. Delivered a robust data ingestion component and improved project onboarding and maintainability, enabling automated licensing data extraction and downstream analytics.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture93.4%
Performance80.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationData ExtractionJSON handlingPDF ProcessingPlugin ArchitecturePythonPython programmingSoftware Developmentdata normalizationdata parsingdata processingweb scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline