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 restored and stabilized data workflows for the MOshima-PIFSC/ISC_OSworkflow_training repository, focusing on stock assessment modeling and analytics readiness. She reintroduced essential datasets and developed Stock Synthesis model templates for both one-sex and two-sex configurations, enabling reproducible and efficient training runs. Her work addressed control file handling issues, improving cross-platform compatibility and reliability of model execution. Using R, Shell scripting, and Excel, Michelle implemented data ingestion pipelines and template-driven modeling, enhancing onboarding and decision-support processes. The depth of her contributions is reflected in robust data management, disciplined version control, and improved workflow reproducibility within a complex analytics environment.
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
83 people
Work 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
Repositories Contributed To
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