Atomic-IT/DataManager
Sep 2025 – Oct 2025
2 Months active
Languages Used
JavaScriptSCSSTypeScriptVue
Technical Skills
CSS PreprocessingChart.jsComponent DevelopmentData VisualizationFront-end DevelopmentReact
Dominika Zalewska
PROFILE
Dominika Zalewska
Worked on the Atomic-IT/DataManager repository to deliver enhanced data exploration and visualization features over a two-month period. Developed user-facing improvements such as column-level filtering and rows-per-page controls for data tables, and expanded charting capabilities with support for bubble, scatter, and stacked bar charts. Refactored chart logic by extracting reusable utilities, improving maintainability and enabling faster extension of chart variants. Addressed a critical chart initialization bug and refined radar chart styling for clearer dashboards. Leveraged React, TypeScript, and Chart.js to create scalable, maintainable front-end components that support more reliable analytics and reduce time-to-insight for end users.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
3
Lines of code
588
Activity Months2
Your Network
12 peopleShared Repositories
12
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 Monthly Summary for Atomic-IT/DataManager. Focused on stabilizing and expanding charting capabilities to empower data-driven decision making. Delivered stacked chart support with enhanced data preparation, and fixed critical chart initialization bugs while refining radar styling for clearer dashboards. Results include more reliable visualizations, faster data-to-chart pathways, and a foundation for advanced analytics across products.
3 Commits • 1 Features
Oct 1, 2025October 2025 Monthly Summary for Atomic-IT/DataManager. Focused on stabilizing and expanding charting capabilities to empower data-driven decision making. Delivered stacked chart support with enhanced data preparation, and fixed critical chart initialization bugs while refining radar styling for clearer dashboards. Results include more reliable visualizations, faster data-to-chart pathways, and a foundation for advanced analytics across products.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025Performance summary for 2025-09 (Atomic-IT/DataManager): This month focused on delivering user-facing features that enhance data exploration and visualization, with no formally tracked major bugs reported. Key outcomes include: Data Table UX Enhancements enabling column-level filtering and rows-per-page control to improve density and discoverability, and Charting Enhancements introducing a prepareCountData utility alongside support for bubble, scatter, and stacked bar charts. These workstreams were implemented with careful attention to maintainability, through extraction of shared counting logic from useChart into a reusable utility and integration across chart variants. The combined impact is faster, more expressive analytics dashboards, enabling better decision making, reduced time-to-insight, and a scalable foundation for future analytics features. Technologies and skills demonstrated: React-based UI enhancements, data visualization engineering, reusable utility development, commit-level traceability, and cross-component design patterns.
September 2025
4 Commits • 2 Features
Sep 1, 2025Performance summary for 2025-09 (Atomic-IT/DataManager): This month focused on delivering user-facing features that enhance data exploration and visualization, with no formally tracked major bugs reported. Key outcomes include: Data Table UX Enhancements enabling column-level filtering and rows-per-page control to improve density and discoverability, and Charting Enhancements introducing a prepareCountData utility alongside support for bubble, scatter, and stacked bar charts. These workstreams were implemented with careful attention to maintainability, through extraction of shared counting logic from useChart into a reusable utility and integration across chart variants. The combined impact is faster, more expressive analytics dashboards, enabling better decision making, reduced time-to-insight, and a scalable foundation for future analytics features. Technologies and skills demonstrated: React-based UI enhancements, data visualization engineering, reusable utility development, commit-level traceability, and cross-component design patterns.
Activity
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Quality Metrics
Correctness85.6%
Maintainability85.8%
Architecture83.0%
Performance80.0%
AI Usage22.8%
Skills & Technologies
Programming Languages
JavaScriptSCSSTypeScriptVue
Technical Skills
CSS PreprocessingChart ConfigurationChart.jsComponent DevelopmentData VisualizationFront End DevelopmentFront-end DevelopmentJavaScriptReactTypeScriptVue.js
Repositories Contributed To
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