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 over two months, delivering twelve features and addressing one bug. He enhanced contour visualization and image patching pipelines, improving data quality and cross-platform compatibility. Using Python, Jupyter Notebook, and PyTorch, Veer developed analytics tooling for patch distribution analysis and implemented adaptive pooling scaffolding for case-level predictions. He also produced and documented ResNet50 experiment notebooks across multiple stains, supporting reproducibility and onboarding. His work included refining version control structure, clarifying documentation, and updating stakeholder materials, demonstrating depth in computer vision, data analysis, and deep learning while emphasizing maintainability and stakeholder communication.
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
Loading activity data...
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
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline