
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.
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.
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 – 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.
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.

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