childhealthbiostatscore/CHCO-Code
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonR
Technical Skills
Data ProcessingData VisualizationMachine LearningScriptingStatistical Analysis
Shivani Ramesh
PROFILE
Shivani Ramesh
Shivani Ramesh developed an end-to-end user-path analytics pipeline for the childhealthbiostatscore/CHCO-Code repository, focusing on enhancing user behavior insights for downstream modeling and visualization. She integrated R scripts to define user paths and process metadata, including age binning and data type conversions, while leveraging Python for SCEPTIC pseudotime analysis, encompassing data loading, preprocessing, model execution, and result plotting. Her work established a reproducible analytics workflow that supports accurate user-path segmentation and interpretable results. Drawing on skills in data processing, statistical analysis, and scripting, Shivani delivered a technically robust feature that deepened the repository’s analytical capabilities within a month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
824
Activity Months1
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly work summary for 2025-10 focusing on features and bugs worked on in childhealthbiostatscore/CHCO-Code. Delivered an end-to-end user-path analytics pipeline with R-based path definitions and Python-based SCEPTIC pseudotime components. No major bugs fixed this month. The work enhances user behavior insights and supports downstream modeling and visualization.
1 Commits • 1 Features
Oct 1, 2025Monthly work summary for 2025-10 focusing on features and bugs worked on in childhealthbiostatscore/CHCO-Code. Delivered an end-to-end user-path analytics pipeline with R-based path definitions and Python-based SCEPTIC pseudotime components. No major bugs fixed this month. The work enhances user behavior insights and supports downstream modeling and visualization.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonR
Technical Skills
Data ProcessingData VisualizationMachine LearningScriptingStatistical Analysis
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