
Over a two-month period, contributed to the BigData2025-Rev/p3 repository by enhancing data pipelines and developing analytics tools focused on demographic data. Delivered features in Python and PySpark, including improvements to the DataCleaner pipeline that mapped region codes to descriptive labels, categorized urban and rural areas, and introduced a total adult population metric to improve downstream analytics. Developed a PySpark-based script for regional population analysis, which read ORC files, filtered and aggregated data by year and region, and exported race-based breakdowns as CSVs. Work emphasized data cleaning, transformation, and engineering, supporting scalable, interpretable demographic reporting and future analytical extensions.
February 2025: Delivered a PySpark-based Regional Population Analysis Script that reads population data from ORC files, filters by summary level, aggregates by year and region, and exports race-based population breakdowns for the US and for four regions (West, South, Midwest, Northeast) as CSVs. The feature supports scalable regional demographics insights and accelerates downstream analytics and reporting.
February 2025: Delivered a PySpark-based Regional Population Analysis Script that reads population data from ORC files, filters by summary level, aggregates by year and region, and exports race-based population breakdowns for the US and for four regions (West, South, Midwest, Northeast) as CSVs. The feature supports scalable regional demographics insights and accelerates downstream analytics and reporting.
January 2025 — BigData2025-Rev/p3 DataCleaner enhancements delivered with a focus on data interpretability and pipeline robustness. Implemented region and urban/rural mapping enhancements and added a total adult population metric to the pipeline, strengthening downstream analytics and labeling accuracy.
January 2025 — BigData2025-Rev/p3 DataCleaner enhancements delivered with a focus on data interpretability and pipeline robustness. Implemented region and urban/rural mapping enhancements and added a total adult population metric to the pipeline, strengthening downstream analytics and labeling accuracy.

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