ONSdigital/monthly-business-survey-results
Mar 2025 – Aug 2025
3 Months active
Languages Used
CSVPython
Technical Skills
Data CleaningData ProcessingTestingData AnalysisPython DevelopmentData Engineering
KateyMatthews1
PROFILE
Kateymatthews1
Katey Matthews contributed to the ONSdigital/monthly-business-survey-results repository by engineering features and improvements focused on data quality and reporting accuracy. She enhanced the turnover analysis pipeline by cleaning unused columns and aligning test data, reducing downstream errors. Using Python and Pandas, Katey developed a weighted growth rates calculation, introducing a weighted target variable to improve metric accuracy and comparability. She also delivered devolved nations reporting enhancements, refactoring percentage calculations and extending outputs with explicit date ranges to support time-series analysis. Her work demonstrated strong data engineering and testing skills, addressing edge cases and aligning outputs with evolving business and governance requirements.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
344
Activity Months3
Your Network
47 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, delivered the Devolved Nations Reporting Enhancement for ONSdigital/monthly-business-survey-results, delivering more accurate devolved nation reporting, improved data integrity, and extended outputs with explicit start/end dates. This work included refactoring of percentage calculations, improved handling of multiple flag values and missing name values, and alignment with reporting requirements to support time-series analysis and governance oversight. The changes reduce data quality risk and enable better business decisions for devolved nations.
1 Commits • 1 Features
Aug 1, 2025In August 2025, delivered the Devolved Nations Reporting Enhancement for ONSdigital/monthly-business-survey-results, delivering more accurate devolved nation reporting, improved data integrity, and extended outputs with explicit start/end dates. This work included refactoring of percentage calculations, improved handling of multiple flag values and missing name values, and alignment with reporting requirements to support time-series analysis and governance oversight. The changes reduce data quality risk and enable better business decisions for devolved nations.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ONSdigital/monthly-business-survey-results focusing on key accomplishments, business value, and technical achievements. In July, delivered the Weighted Growth Rates Calculation feature for the Monthly Business Survey Results repo. Introduced weighted_target by weighting adjustedresponse with design_weight, outlier_weight, and calibration_factor, and updated the growth rates aggregation to use weighted_target instead of the raw target. This change enhances accuracy and comparability of growth metrics across cohorts and reduces susceptibility to extreme values. The work is tracked under commit b3e72a738bd0baf6807e9e7c4a3f8922372df7bc (weighted version of target variable in growth rates output and corrections) linked to PR (#251).
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ONSdigital/monthly-business-survey-results focusing on key accomplishments, business value, and technical achievements. In July, delivered the Weighted Growth Rates Calculation feature for the Monthly Business Survey Results repo. Introduced weighted_target by weighting adjustedresponse with design_weight, outlier_weight, and calibration_factor, and updated the growth rates aggregation to use weighted_target instead of the raw target. This change enhances accuracy and comparability of growth metrics across cohorts and reduces susceptibility to extreme values. The work is tracked under commit b3e72a738bd0baf6807e9e7c4a3f8922372df7bc (weighted version of target variable in growth rates output and corrections) linked to PR (#251).
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for ONSdigital/monthly-business-survey-results. Focused on data quality improvements in the turnover analysis pipeline. Delivered a targeted data-cleanup change that removes unused columns and aligns test data, reducing downstream processing errors and enabling more reliable turnover analytics for stakeholders.
1 Commits
Mar 1, 2025March 2025 monthly summary for ONSdigital/monthly-business-survey-results. Focused on data quality improvements in the turnover analysis pipeline. Delivered a targeted data-cleanup change that removes unused columns and aligns test data, reducing downstream processing errors and enabling more reliable turnover analytics for stakeholders.
March 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPython
Technical Skills
Data AnalysisData CleaningData EngineeringData ProcessingPandasPythonPython DevelopmentTesting
Repositories Contributed To
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