zarathucorp/blog
Oct 2025 – Dec 2025
3 Months active
Languages Used
MarkdownR
Technical Skills
Data AnalysisData VisualizationMRMC StudiesR ProgrammingStatistical AnalysisStatistical Modeling
wbhahn
PROFILE
Wbhahn
Andrew Hahn developed three robust features for the zarathucorp/blog repository over three months, focusing on data analysis and research methodology. He delivered advanced MRMC analysis documentation and visualization, providing R code examples and refining empirical curve plotting to support statistical modeling. Andrew also established standardized index date guidance for observational cohort studies, enhancing methodological rigor and reproducibility for data science teams. In December, he introduced the tabulapdf package, enabling efficient mouse-drag table extraction from PDFs to streamline data ingestion. His work demonstrated depth in R programming, data extraction, and technical writing, with a clear emphasis on reproducible, well-documented solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
854
Activity Months3
Your Network
15 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for zarathucorp/blog. Focused on delivering automated PDF table extraction to accelerate data ingestion and reporting. Introduced the tabulapdf package with mouse-drag-based table extraction from PDFs. Commit 1fd2c26a8258ba1c59e2ff5aa8fa1ff7a9c43540 (2025-12-17-tabulapdf) represents the core implementation. No major bugs fixed this month. Impact includes faster data processing, improved data accuracy, and stronger capability to generate structured insights from PDFs.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for zarathucorp/blog. Focused on delivering automated PDF table extraction to accelerate data ingestion and reporting. Introduced the tabulapdf package with mouse-drag-based table extraction from PDFs. Commit 1fd2c26a8258ba1c59e2ff5aa8fa1ff7a9c43540 (2025-12-17-tabulapdf) represents the core implementation. No major bugs fixed this month. Impact includes faster data processing, improved data accuracy, and stronger capability to generate structured insights from PDFs.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance summary for zarathucorp/blog: Delivered the Index Date Guidance for Observational Cohort Studies, establishing a standardized approach to selecting the Index Date for control groups to improve study design validity and bias reduction. The change is tracked by commit b6de43fef145e9bb6a44c1776bdcf63fb606cc42 (2025-11-18-control_index). No major bugs reported this month in this repository; the focus was on feature delivery and documentation. This work strengthens methodological rigor and reproducibility, with clear documentation for researchers and cross-team collaboration. Technologies/skills demonstrated include epidemiological study design, technical documentation, and Git-based collaboration.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance summary for zarathucorp/blog: Delivered the Index Date Guidance for Observational Cohort Studies, establishing a standardized approach to selecting the Index Date for control groups to improve study design validity and bias reduction. The change is tracked by commit b6de43fef145e9bb6a44c1776bdcf63fb606cc42 (2025-11-18-control_index). No major bugs reported this month in this repository; the focus was on feature delivery and documentation. This work strengthens methodological rigor and reproducibility, with clear documentation for researchers and cross-team collaboration. Technologies/skills demonstrated include epidemiological study design, technical documentation, and Git-based collaboration.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for zarathucorp/blog focusing on delivering advanced MRMC analysis capabilities and their business value.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for zarathucorp/blog focusing on delivering advanced MRMC analysis capabilities and their business value.
October 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownR
Technical Skills
Data AnalysisData VisualizationMRMC StudiesR ProgrammingR package developmentR programmingStatistical AnalysisStatistical ModelingTechnical Writingdata analysisdata extractiondata manipulationdata visualizationresearch methodologystatistical modeling
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