dsi-clinic/CMAP
Nov 2024 – Dec 2024
2 Months active
Languages Used
Jupyter NotebookMarkdownPythonShellBashYAML
Technical Skills
Configuration ManagementData AnalysisData ScienceData VisualizationDebuggingDeep Learning
Wxy-23
PROFILE
Wxy-23
Worked on the dsi-clinic/CMAP repository to enhance machine learning experiment workflows and improve project maintainability. Over two months, delivered features such as a debug mode for training, streamlined experiment tracking with Weights & Biases, and standardized configuration handling to support reproducibility. Addressed a critical data visualization bug in the class distribution notebook by refining dataset initialization and updating plotting logic using GeoPandas and Matplotlib. Improved hyperparameter tuning workflows with SLURM integration and comprehensive documentation, while restructuring the repository for clearer organization. The work leveraged Python, Shell scripting, and YAML, emphasizing robust configuration management and efficient experimentation practices.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
7
Lines of code
1,614
Activity Months2
Your Network
119 peopleShared Repositories
23
Alan ChermanMember
Alan ChermanMember
Alan ChermanMember
Anna PoonMember
Anna PoonMember
Anna PoonMember
Anna Elizabeth WoodardMember
Nathan HaasMember
cassiehaasMember
Work History
December 2024
10 Commits • 2 Features
Dec 1, 2024Monthly performance summary for 2024-12 (dsi-clinic/CMAP). This period focused on enhancing experiment workflows, fixing critical data visualization issues, and improving repository maintainability to boost reproducibility and onboarding efficiency. Delivered measurable improvements to hyperparameter tuning with W&B and SLURM sweeps, corrected class distribution analysis, and restructured project layout.
10 Commits • 2 Features
Dec 1, 2024Monthly performance summary for 2024-12 (dsi-clinic/CMAP). This period focused on enhancing experiment workflows, fixing critical data visualization issues, and improving repository maintainability to boost reproducibility and onboarding efficiency. Delivered measurable improvements to hyperparameter tuning with W&B and SLURM sweeps, corrected class distribution analysis, and restructured project layout.
December 2024
November 2024
9 Commits • 5 Features
Nov 1, 2024Concise monthly summary for 2024-11 focused on CMAP development work. Delivered features, fixed critical issues, and advanced tooling to speed experimentation and improve reproducibility. Highlighted outcomes include debug tooling, streamlined experiment tracking, configuration normalization, comprehensive sprint documentation, and faster testing cycles with measurable business impact.
November 2024
9 Commits • 5 Features
Nov 1, 2024Concise monthly summary for 2024-11 focused on CMAP development work. Delivered features, fixed critical issues, and advanced tooling to speed experimentation and improve reproducibility. Highlighted outcomes include debug tooling, streamlined experiment tracking, configuration normalization, comprehensive sprint documentation, and faster testing cycles with measurable business impact.
Activity
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Quality Metrics
Correctness89.4%
Maintainability89.4%
Architecture85.2%
Performance82.2%
AI Usage23.2%
Skills & Technologies
Programming Languages
BashJupyter NotebookMarkdownPythonShellYAML
Technical Skills
Code OrganizationConfiguration ManagementData AnalysisData ScienceData VisualizationDebuggingDeep LearningDocumentationEnvironment ManagementExperiment TrackingGeoPandasGeospatial AnalysisHyperparameter TuningMachine LearningMachine Learning Operations (MLOps)
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