ONSdigital/construction-survey-results
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingdata analysisdata manipulationdata processing
KateyMatthews1
PROFILE
Kateymatthews1
Worked on the ONSdigital/monthly-business-survey-results repository, delivering features and improvements focused on data quality, reporting accuracy, and analytics reliability. Over three months, implemented a weighted growth rates calculation by introducing a weighted target variable, enhancing the accuracy and comparability of growth metrics. Improved devolved nations reporting by refactoring percentage calculations, handling multiple flag values, and adding explicit start and end dates to outputs, supporting time-series analysis and governance. Addressed data cleanliness by removing unused columns and aligning test data, reducing processing errors. Utilized Python, Pandas, and data engineering techniques throughout, emphasizing maintainable code, robust testing, and clear version control practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
22
Activity Months1
Your Network
51 peopleWork History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a QA Output 290_flag Enhancement and Aggregation feature in ONSdigital/construction-survey-results, introducing a 290_flag to filter QA outputs and aggregating results to differentiate total-only records. This improved data integrity and reporting accuracy by reducing misclassification and clarifying reporting baselines for QA analytics. Work is tracked across two commits and focuses on robust data modeling and reliable analytics.
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a QA Output 290_flag Enhancement and Aggregation feature in ONSdigital/construction-survey-results, introducing a 290_flag to filter QA outputs and aggregating results to differentiate total-only records. This improved data integrity and reporting accuracy by reducing misclassification and clarifying reporting baselines for QA analytics. Work is tracked across two commits and focuses on robust data modeling and reliable analytics.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingdata analysisdata manipulationdata processing
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