arvindkrishna87/STAT390_SP25_CMIL
May 2025 – Jun 2025
2 Months active
Languages Used
GitJupyter NotebookPython
Technical Skills
Computer VisionData AnalysisData PreprocessingData ScienceData VisualizationDeep Learning
Veer Bathwal
PROFILE
Veer Bathwal
Contributed to the arvindkrishna87/STAT390_SP25_CMIL repository by delivering twelve features and resolving one bug over two months, focusing on computer vision and data science workflows. Developed robust image patching pipelines, enhanced contour visualization, and implemented analytics tools for case-level data aggregation and quality control. Improved cross-platform compatibility and maintained clean version control practices by restructuring code and documentation. Led model experimentation with ResNet50 variants using Python, PyTorch, and Jupyter Notebook, producing reproducible experiment notebooks and stakeholder-ready presentations. Emphasized maintainability and onboarding through clarified documentation, debugging, and structured deliverables, supporting data-driven decision-making and reliable machine learning development processes.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
24Total
Bugs
1
Commits
24
Features
12
Lines of code
11,913
Activity Months2
Your Network
8 peopleWork History
June 2025
6 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary for arvindkrishna87/STAT390_SP25_CMIL: Focused on maintainability, reproducibility, and stakeholder-ready deliverables. Key changes include renaming skeleton code files for consistent version-control structure, clarifying bucketing logic in the docs, and producing ResNet50 experiment notebooks (3 variants per stain) plus the final models presentation for Spring 2025. Also fixed minor debugging issues in the skeleton code and explanations to improve onboarding and reliability.
6 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary for arvindkrishna87/STAT390_SP25_CMIL: Focused on maintainability, reproducibility, and stakeholder-ready deliverables. Key changes include renaming skeleton code files for consistent version-control structure, clarifying bucketing logic in the docs, and producing ResNet50 experiment notebooks (3 variants per stain) plus the final models presentation for Spring 2025. Also fixed minor debugging issues in the skeleton code and explanations to improve onboarding and reliability.
June 2025
May 2025
18 Commits • 7 Features
May 1, 2025May 2025 monthly performance summary for arvindkrishna87/STAT390_SP25_CMIL highlighting major feature deliveries, reliability improvements, and impact on decision-making. Delivered end-to-end enhancements across visualization, patching, analytics, and stakeholder communications, with cross-platform portability and data quality improvements that enable faster, data-driven decisions.
May 2025
18 Commits • 7 Features
May 1, 2025May 2025 monthly performance summary for arvindkrishna87/STAT390_SP25_CMIL highlighting major feature deliveries, reliability improvements, and impact on decision-making. Delivered end-to-end enhancements across visualization, patching, analytics, and stakeholder communications, with cross-platform portability and data quality improvements that enable faster, data-driven decisions.
Activity
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Quality Metrics
Correctness79.2%
Maintainability79.2%
Architecture78.4%
Performance74.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
GitJupyter NotebookPython
Technical Skills
Computer VisionData AnalysisData PreprocessingData ScienceData VisualizationDeep LearningDocumentationGitGoogle ColabImage ProcessingJupyter NotebookMachine LearningMatplotlibModel ExperimentationNumPy
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