neuroinformatics-unit/movement
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
algorithm developmentdata analysisscientific computingunit testing
Sanjana soni
PROFILE
Sanjana Soni
During April 2026, Ixia Zhang developed a robust trajectory analysis feature for the neuroinformatics-unit/movement repository, focusing on accurate computation of turning angles in movement data. Leveraging Python and scientific computing techniques, Ixia refactored core logic into a dedicated orientation module, introduced handling for zero-length steps, and enabled flexible angle representation in degrees or radians. Comprehensive, parametrized unit tests were added to ensure reliability across edge cases, and code organization was improved for maintainability. By collaborating closely with team members and integrating review feedback, Ixia enhanced the accuracy and clarity of trajectory analytics, supporting deeper data analysis for movement research applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
357
Activity Months1
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for neuroinformatics team focusing on the neuroinformatics-unit/movement repository. Delivered a robust trajectory analysis feature, improved code organization, and enhanced testing/CI hygiene, resulting in clearer movement insights and higher data quality for downstream analytics.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for neuroinformatics team focusing on the neuroinformatics-unit/movement repository. Delivered a robust trajectory analysis feature, improved code organization, and enhanced testing/CI hygiene, resulting in clearer movement insights and higher data quality for downstream analytics.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
algorithm developmentdata analysisscientific computingunit testing
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