teamg4it/g4it
Oct 2025 – Oct 2025
1 Month active
Languages Used
CSSHTMLJavaMarkdownSQLTypeScriptYAML
Technical Skills
AngularBackend DevelopmentCSV GenerationCalculation LogicData ExportDatabase Management
GUPTA Ishaani
PROFILE
Gupta Ishaani
Ishaani Gupta enhanced the teamg4it/g4it project by improving data export accuracy and user experience within a one-month period. She addressed data integrity issues in CSV generation by adding null checks and refining calculation logic for workload percentages and equipment quantities, ensuring more reliable exports. Using Angular and SQL, she removed obsolete fields from the AI infrastructure export to align with the updated data model. Ishaani also updated the UI for better localization and usability, including font adjustments and new translation keys, and revised documentation to reflect these changes. Her work resulted in more consistent data and streamlined onboarding for users.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
132
Activity Months1
Your Network
40 people
Work History
October 2025
8 Commits • 2 Features
Oct 1, 2025October 2025 focused on data integrity, export accuracy, and UI/UX improvements in the teamg4it/g4it project. Key outcomes include fixes to data aggregation/export logic (null checks for application and virtual equipment names; corrected workload percentage conversion; refined physical equipment quantity calculations), removal of obsolete fields from the AI infrastructure CSV export, and comprehensive UI polish with localization plus documentation/images updates to reflect the new UI and data-consistency emphasis. These changes enhance export correctness, data consistency, user experience, and localization readiness, enabling more reliable reporting and faster onboarding for new users.
8 Commits • 2 Features
Oct 1, 2025October 2025 focused on data integrity, export accuracy, and UI/UX improvements in the teamg4it/g4it project. Key outcomes include fixes to data aggregation/export logic (null checks for application and virtual equipment names; corrected workload percentage conversion; refined physical equipment quantity calculations), removal of obsolete fields from the AI infrastructure CSV export, and comprehensive UI polish with localization plus documentation/images updates to reflect the new UI and data-consistency emphasis. These changes enhance export correctness, data consistency, user experience, and localization readiness, enabling more reliable reporting and faster onboarding for new users.
October 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture87.6%
Performance92.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaMarkdownSQLTypeScriptYAML
Technical Skills
AngularBackend DevelopmentCSV GenerationCalculation LogicData ExportDatabase ManagementDocumentationFrontend DevelopmentInternationalizationSQLUI/UXdocumentation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline