MetOffice/CSET
Nov 2024 – Oct 2025
3 Months active
Languages Used
PythonYAMLConfigurationN/AShell
Technical Skills
Backend DevelopmentPythonConfiguration ManagementData AnalysisMeteorologySoftware Development
Sana Mahmood
PROFILE
Sana Mahmood
Sana Mahmood contributed to the MetOffice/CSET repository by developing and refining aviation weather diagnostics and visualization features over a three-month period. She implemented Python-based backend enhancements to improve plot metadata, including dynamic title generation with date and cycle point, and addressed data cleanliness in index construction. Sana introduced aviation fog diagnostics, configuring spatial plots and domain mean time series to support operational decision-making. Her work involved reorganizing diagnostic recipes, cleaning up configuration files using YAML and Shell scripting, and ensuring repository hygiene through targeted bug fixes and CI quality improvements. These efforts enhanced reporting reliability and streamlined forecasting workflows for end users.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
4
Lines of code
682
Activity Months3
Your Network
58 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on MetOffice/CSET work. Delivered core aviation diagnostics capability and improved repository hygiene by reorganizing diagnostic recipes and cleaning configuration, enabling more reliable forecasting support and faster CI feedback. Highlights include added aviation fog presence diagnostic, recipe reorganization, help text corrections, removal of deprecated config, and PR-check quality fixes.
4 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on MetOffice/CSET work. Delivered core aviation diagnostics capability and improved repository hygiene by reorganizing diagnostic recipes and cleaning configuration, enabling more reliable forecasting support and faster CI feedback. Highlights include added aviation fog presence diagnostic, recipe reorganization, help text corrections, removal of deprecated config, and PR-check quality fixes.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Key work: Delivered Aviation Fog Diagnostics and Visualization in MetOffice/CSET, with configurations for spatial plots, domain mean time series, and spatial differences to analyze fog presence (visibility < 1 km). Resolved issue #1560 with commit cffead57920766505ed936d6eb1a2ecd47bb9a8f, enhancing detection reliability. This contributes to improved aviation safety awareness and forecast utility.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Key work: Delivered Aviation Fog Diagnostics and Visualization in MetOffice/CSET, with configurations for spatial plots, domain mean time series, and spatial differences to analyze fog presence (visibility < 1 km). Resolved issue #1560 with commit cffead57920766505ed936d6eb1a2ecd47bb9a8f, enhancing detection reliability. This contributes to improved aviation safety awareness and forecast utility.
November 2024
3 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on MetOffice/CSET. Delivered two main features with targeted fixes and demonstrated strong data-cleaning and metadata practices, producing tangible business value in reporting and visualization reliability.
3 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on MetOffice/CSET. Delivered two main features with targeted fixes and demonstrated strong data-cleaning and metadata practices, producing tangible business value in reporting and visualization reliability.
November 2024
Activity
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Quality Metrics
Correctness92.4%
Maintainability92.4%
Architecture87.6%
Performance87.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
ConfigurationN/APythonShellYAML
Technical Skills
Backend DevelopmentConfiguration ManagementData AnalysisMeteorologyPythonSoftware Development
Repositories Contributed To
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