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
Developed an end-to-end user-path analytics pipeline for the childhealthbiostatscore/CHCO-Code repository, integrating R and Python to enhance user behavior analysis. The work combined R scripting for defining user paths and processing metadata, including age binning and data type conversions, with Python-based SCEPTIC pseudotime analysis for data loading, preprocessing, model execution, and result visualization. This approach established a reproducible workflow supporting downstream modeling and data visualization. The pipeline improved the accuracy of user-path segmentation and enabled comprehensive analysis of user behavior, leveraging skills in data processing, statistical analysis, and scripting to deliver a robust foundation for future analytics and research.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
824
Activity Months1
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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
Repositories Contributed To
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