MOshima-PIFSC/ISC_OSworkflow_training
Jan 2025 – Jan 2025
1 Month active
Languages Used
CSVControl FileExcelRShell
Technical Skills
Data AnalysisData ConfigurationData EngineeringData ManagementModel SetupScripting
michellesculley
PROFILE
Michellesculley
Michelle Sculley worked on the MOshima-PIFSC/ISC_OSworkflow_training repository, restoring data availability and stabilizing the Stock Synthesis workflow to support analytics and training. She reintroduced essential datasets and developed model templates for both one-sex and two-sex stock assessment configurations, focusing on reproducibility and onboarding efficiency. Her technical approach involved building data ingestion pipelines and improving cross-platform file handling, using R, Shell scripting, and Excel for data management and configuration. By addressing control file handling issues and enhancing template-driven modeling, Michelle delivered robust, ready-to-use workflows that improved data processing reliability and accelerated analytics, demonstrating depth in data engineering and statistical modeling.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
1,951
Activity Months1
Your Network
88 peopleWork History
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 — Performance summary for MOshima-PIFSC/ISC_OSworkflow_training: Restored data availability and stabilized the Stock Synthesis workflow to accelerate analytics and training runs. Key deliveries include reintroducing essential data ingestion (CPUE, Catch, Length, CTL inputs) and providing SS model templates for one-sex and two-sex configurations. Targeted fixes to control file handling improve SS run reliability and cross-platform compatibility. Overall, the work enhances data processing readiness, reproducibility, onboarding efficiency, and business value in analytics and decision-support workflows. Technologies demonstrated include data ingestion pipelines, cross-platform file management, template-driven modeling, and robust version control practices.
3 Commits • 2 Features
Jan 1, 2025January 2025 — Performance summary for MOshima-PIFSC/ISC_OSworkflow_training: Restored data availability and stabilized the Stock Synthesis workflow to accelerate analytics and training runs. Key deliveries include reintroducing essential data ingestion (CPUE, Catch, Length, CTL inputs) and providing SS model templates for one-sex and two-sex configurations. Targeted fixes to control file handling improve SS run reliability and cross-platform compatibility. Overall, the work enhances data processing readiness, reproducibility, onboarding efficiency, and business value in analytics and decision-support workflows. Technologies demonstrated include data ingestion pipelines, cross-platform file management, template-driven modeling, and robust version control practices.
January 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
CSVControl FileExcelRShell
Technical Skills
Data AnalysisData ConfigurationData EngineeringData ManagementModel SetupScriptingSoftware ConfigurationStatistical ModelingStock Assessment Modeling
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