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jmojmo

PROFILE

Jmojmo

Developed and documented automated image processing workflows for the STAT390_project and STAT390_WI2025 repositories, focusing on reproducible research and efficient onboarding. Built a scalable pipeline for tissue patch extraction and analysis using Python, OpenCV, and Pandas, incorporating smoothing, overlap control, patch size constraints, and performance metrics such as epithelium coverage. Enhanced documentation with Quarto and Markdown to clarify methodologies, integrate data trackers, and support machine learning experimentation. Emphasized maintainability and traceability by linking workflow steps to tracker spreadsheets and updating research references, enabling collaborative contributions and robust data management across scientific computing and computer vision tasks.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

15Total
Bugs
0
Commits
15
Features
4
Lines of code
2,144
Activity Months3

Work History

March 2025

6 Commits • 1 Features

Mar 1, 2025

Concise monthly summary for 2025-03 focusing on key accomplishments in STAT390_WI2025 project. Highlights delivered a scalable image-patch workflow, documentation improvements, and reproducible processing.

February 2025

4 Commits • 2 Features

Feb 1, 2025

February 2025 — Documentation and knowledge-transfer focus for arvindkrishna87/STAT390_project. Delivered two major documentation features: About Page Documentation Improvements; and ML Patch Size Methodology and STAT390 Progress Documentation. Changes emphasize clarity, research traceability, and onboarding readiness. No major bugs fixed this month. Impact includes improved maintainability, faster onboarding for new contributors, and clearer external-facing documentation; groundwork for robust ML experimentation and reproducibility. Technologies/skills demonstrated include Git commit traceability, Quarto/Markdown documentation (about.qmd), expanded ML methodology with literature references, and documentation best practices.

January 2025

5 Commits • 1 Features

Jan 1, 2025

January 2025: Focused documentation and tracker integration for the Slice Extraction and Matching Workflow in arvindkrishna87/STAT390_project, enabling reproducible research and faster onboarding. Delivered Step 1–2 docs with detailed coverage of QuPath-based image processing, manual slice extraction, thresholder visualization, slice matching methodology, folder organization, and tracker spreadsheet integration. Established data-tracking linkage between the workflow docs and the tracker to improve data lineage and decision traceability; updated patching research references (Fall 2024/Winter 2025) and clarified patching approaches. Changes were committed across index.qmd, step1.qmd, and step2.qmd, reinforcing documentation consistency and collaborative workflows.

Activity

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Quality Metrics

Correctness87.4%
Maintainability86.6%
Architecture78.0%
Performance74.6%
AI Usage21.4%

Skills & Technologies

Programming Languages

JSONMarkdownPythonQMLQuartoText

Technical Skills

Algorithm DevelopmentComputer VisionData AnalysisData ManagementDocumentationFile ManagementImage ProcessingJupyter NotebooksMachine LearningMatplotlibNumPyOpenCVPandasProject ManagementPython

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

arvindkrishna87/STAT390_project

Jan 2025 Feb 2025
2 Months active

Languages Used

MarkdownQuartoQML

Technical Skills

Data ManagementDocumentationProject ManagementTechnical WritingData AnalysisMachine Learning

arvindkrishna87/STAT390_WI2025

Mar 2025 Mar 2025
1 Month active

Languages Used

JSONMarkdownPythonText

Technical Skills

Algorithm DevelopmentComputer VisionData AnalysisDocumentationFile ManagementImage Processing