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
Veer Bathwal contributed to the arvindkrishna87/STAT390_SP25_CMIL repository by developing and refining data analysis and computer vision features over a two-month period. He enhanced contour visualization and image patching pipelines, enabling clearer representations and robust cross-platform compatibility. Using Python, Jupyter Notebook, and PyTorch, Veer implemented analytics tooling for patch distribution and case-level aggregation, improving data quality and decision-making. He also produced and documented ResNet50 experiment notebooks, clarified bucketing logic, and maintained code reliability through debugging and version control improvements. His work demonstrated depth in scientific computing and reproducibility, supporting both technical stakeholders and onboarding for future contributors.
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 people
Work 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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