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PROFILE

Haddadzj

Zachary Haddad developed property assessment analytics for the BU-Spark/ds-bcc-liz-breadon-accountability repository, focusing on data standardization and ZIP-code level insights. Over two months, he engineered end-to-end pipelines using Python, Pandas, and Excel to clean, align, and enrich multi-year property data. His work included numeric mapping of categorical fields, aggregation of owner occupancy and heating systems, and computation of per-ZIP statistics. He exported processed datasets and generated visualizations with Matplotlib and Seaborn, supporting year-over-year analysis and stakeholder reporting. The depth of his contributions established a foundation for reliable analytics, data-driven dashboards, and improved data governance within the property assessment domain.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
884,913
Activity Months2

Work History

December 2024

1 Commits • 1 Features

Dec 1, 2024

Month: 2024-12 — Delivered ZIP-code level property assessment analytics with visualization capabilities for BU-Spark/ds-bcc-liz-breadon-accountability. Processed 2021-2024 data to analyze owner occupancy, heating systems, and average bedrooms by ZIP code. Implemented data cleaning, aggregation, and mode computation for heating systems (ignoring blanks). Exported results to a new Excel workbook and produced heatmaps and pie charts to illustrate trends over the years. This work establishes a foundation for dashboards and stakeholder reports, enabling data-driven property insights and policy considerations.

October 2024

2 Commits • 1 Features

Oct 1, 2024

October 2024 – BU-Spark/ds-bcc-liz-breadon-accountability: Delivered end-to-end data standardization and enrichment for property assessment analytics. Key outcomes include cross-year data cleaning and alignment of ZIP_CODE and OVERALL_COND, numeric mapping of categorical fields, calculation of mean conditions, and ZIP-based classifications. Ingested a large batch of new property assessment records and saved processed data for yearly analysis and Excel visualizations. These changes enable reliable year-over-year analytics, faster reporting, and stronger data governance.

Activity

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Quality Metrics

Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage33.4%

Skills & Technologies

Programming Languages

CSVPythonSQL

Technical Skills

Data AnalysisData CleaningData EntryData StandardizationData VisualizationExcel ProcessingMatplotlibPandasSeaborn

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

BU-Spark/ds-bcc-liz-breadon-accountability

Oct 2024 Dec 2024
2 Months active

Languages Used

CSVPythonSQL

Technical Skills

Data CleaningData EntryData StandardizationExcel ProcessingPandasData Analysis