lter/lterwg-caged
Jan 2025 – Oct 2025
4 Months active
Languages Used
R
Technical Skills
Cloud Storage IntegrationData CleaningData EngineeringData ExportData ProcessingData Wrangling
Kelly Speare
PROFILE
Kelly Speare
Kelly Speare developed and enhanced data processing and modeling pipelines for the lterwg-caged repository, focusing on reproducibility and maintainability. Over four months, Kelly built end-to-end data ingestion workflows integrating Google Drive via the Google Drive API, automated data wrangling and export routines in R, and established standardized output directories for downstream analysis. She refactored and consolidated statistical modeling scripts, implementing beta regression models with complex interactions and visualizations to support stakeholder interpretation. Kelly also addressed code hygiene and data loading issues, ensuring scripts referenced current datasets. Her work demonstrated depth in data engineering, statistical modeling, and cloud storage integration.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
5
Lines of code
325
Activity Months4
Your Network
13 people
Work History
October 2025
1 Commits
Oct 1, 2025Concise monthly summary for 2025-10 focusing on DevX contributions and repo health.
1 Commits
Oct 1, 2025Concise monthly summary for 2025-10 focusing on DevX contributions and repo health.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for repository lter/lterwg-caged. Delivered Beta Regression Modeling and Visualization Enhancements by integrating three model variants into a single analysis workflow, enabling robust comparisons across models for uncaged data and refining the existing beta regression model for absolute differences. Added visualization of model effects to support interpretation and stakeholder communication. The work improves modeling accuracy, enables clearer decision-making, and enhances reproducibility and maintainability of the analysis pipeline.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for repository lter/lterwg-caged. Delivered Beta Regression Modeling and Visualization Enhancements by integrating three model variants into a single analysis workflow, enabling robust comparisons across models for uncaged data and refining the existing beta regression model for absolute differences. Added visualization of model effects to support interpretation and stakeholder communication. The work improves modeling accuracy, enables clearer decision-making, and enhances reproducibility and maintainability of the analysis pipeline.
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 performance summary for lterwg-caged: Delivered foundational data-science pipeline enhancements and advanced modeling capabilities. Established a dedicated output directory for model predictions within the graphs folder, enabling downstream scripts to reliably store results. Implemented a beta regression model with a three-way interaction (var_aq.or.terr × abs.lat × cage.treatment_std) using glmmTMB, including model validation with DHARMa simulations and visualization of predicted values. These workstreams improve reproducibility, observability, and modeling sophistication, directly supporting data-driven decisions and stakeholder communications.
2 Commits • 2 Features
Aug 1, 2025August 2025 performance summary for lterwg-caged: Delivered foundational data-science pipeline enhancements and advanced modeling capabilities. Established a dedicated output directory for model predictions within the graphs folder, enabling downstream scripts to reliably store results. Implemented a beta regression model with a three-way interaction (var_aq.or.terr × abs.lat × cage.treatment_std) using glmmTMB, including model validation with DHARMa simulations and visualization of predicted values. These workstreams improve reproducibility, observability, and modeling sophistication, directly supporting data-driven decisions and stakeholder communications.
August 2025
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for lter/lterwg-caged focused on delivering end-to-end data ingestion and robust processing pipelines, with clear business value through standardized output, reproducibility, and Google Drive integration. Achievements span data ingestion scaffolding, project data processing enhancements, and improved project documentation and code quality, enabling faster data onboarding and reliable downstream consumption.
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for lter/lterwg-caged focused on delivering end-to-end data ingestion and robust processing pipelines, with clear business value through standardized output, reproducibility, and Google Drive integration. Achievements span data ingestion scaffolding, project data processing enhancements, and improved project documentation and code quality, enabling faster data onboarding and reliable downstream consumption.
Activity
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Quality Metrics
Correctness84.4%
Maintainability84.4%
Architecture82.2%
Performance71.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Cloud Storage IntegrationData AnalysisData CleaningData EngineeringData ExportData ProcessingData WranglingFile System ManagementGoogle Drive APIRR ProgrammingR ScriptingScriptingStatistical Modeling
Repositories Contributed To
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