cpmodel/FTT_StandAlone
Nov 2024 – Sep 2025
8 Months active
Languages Used
PythonMarkdownCSV
Technical Skills
Data AnalysisNumerical ComputingDocumentationTechnical WritingLicensingData Engineering
Femke Nijsse
PROFILE
Femke Nijsse
Over eight months, F.J.M.M. Nijsse enhanced the cpmodel/FTT_StandAlone repository by developing new simulation features, optimizing performance, and improving documentation. Nijsse introduced country-specific datasets, expanded the FTT Hydrogen model, and implemented parallel processing using Python and Numba to accelerate financial calculations. Their work included rigorous code refactoring and cleanup, ensuring maintainability and reliability, while targeted bug fixes addressed timing accuracy and division-by-zero risks in storage pricing. Nijsse also improved onboarding and user guidance through comprehensive documentation updates and licensing changes, demonstrating a methodical approach to software development, data engineering, and technical writing that strengthened the project’s foundation.
Overall Statistics
Feature vs Bugs
62%Features
Repository Contributions
24Total
Bugs
5
Commits
24
Features
8
Lines of code
188
Activity Months8
Your Network
19 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for cpmodel/FTT_StandAlone focused on reliability and maintainability improvements in the simulation workflow. Delivered targeted timing accuracy fix for start times across all runs and eliminated dead code, with clear commit traces and minimal behavioral changes.
2 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for cpmodel/FTT_StandAlone focused on reliability and maintainability improvements in the simulation workflow. Delivered targeted timing accuracy fix for start times across all runs and eliminated dead code, with clear commit traces and minimal behavioral changes.
September 2025
August 2025
7 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for the cpmodel/FTT_StandAlone repository, highlighting delivered features, fixed issues, and overall impact aligned with business value.
August 2025
7 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for the cpmodel/FTT_StandAlone repository, highlighting delivered features, fixed issues, and overall impact aligned with business value.
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for cpmodel/FTT_StandAlone: Delivered a performance-oriented feature improvement and documentation clarity enhancements. The work focused on optimizing financial cost calculations in the power sector analysis and aligning documentation with actual parameters to reduce downstream confusion. These changes improve execution speed, code maintainability, and API understanding for stakeholders.
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for cpmodel/FTT_StandAlone: Delivered a performance-oriented feature improvement and documentation clarity enhancements. The work focused on optimizing financial cost calculations in the power sector analysis and aligning documentation with actual parameters to reduce downstream confusion. These changes improve execution speed, code maintainability, and API understanding for stakeholders.
July 2025
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary: Delivered foundational enhancements to the FTT stand-alone workflow in cpmodel/FTT_StandAlone, introducing the FTT Hydrogen model and improving developer onboarding through updated README and installation/run instructions; completed targeted documentation improvements for FTT-Heat to ensure accuracy and clarity. These changes advance data availability, deployment ease, and overall model reliability, enabling faster iteration and informed decision-making for stakeholders.
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary: Delivered foundational enhancements to the FTT stand-alone workflow in cpmodel/FTT_StandAlone, introducing the FTT Hydrogen model and improving developer onboarding through updated README and installation/run instructions; completed targeted documentation improvements for FTT-Heat to ensure accuracy and clarity. These changes advance data availability, deployment ease, and overall model reliability, enabling faster iteration and informed decision-making for stakeholders.
March 2025
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Expanded dataset capabilities in cpmodel/FTT_StandAlone by adding Pakistan MCSC input (MCSC_PK.csv) to Inputs/S0/General, enabling Pakistan-specific simulations. Commit: 06b7db917ee5a1105591d50aa085955187c82c0e ('Add Pakistan MCSC file'). No major bugs fixed this month. Overall impact: broader business coverage, faster scenario analyses for Pakistan, and maintained alignment with the existing MCSC ingestion workflow. Technologies/skills demonstrated: data onboarding, file-path conventions, version-controlled feature delivery, and maintaining data integrity across country datasets.
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Expanded dataset capabilities in cpmodel/FTT_StandAlone by adding Pakistan MCSC input (MCSC_PK.csv) to Inputs/S0/General, enabling Pakistan-specific simulations. Commit: 06b7db917ee5a1105591d50aa085955187c82c0e ('Add Pakistan MCSC file'). No major bugs fixed this month. Overall impact: broader business coverage, faster scenario analyses for Pakistan, and maintained alignment with the existing MCSC ingestion workflow. Technologies/skills demonstrated: data onboarding, file-path conventions, version-controlled feature delivery, and maintaining data integrity across country datasets.
March 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for cpmodel/FTT_StandAlone highlighting licensing, documentation improvements, and code quality efforts. Key outcomes include MIT License adoption to enable broader collaboration and commercial use with distributable software/docs, and targeted fixes to ensure documentation accuracy and learning-rate references.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for cpmodel/FTT_StandAlone highlighting licensing, documentation improvements, and code quality efforts. Key outcomes include MIT License adoption to enable broader collaboration and commercial use with distributable software/docs, and targeted fixes to ensure documentation accuracy and learning-rate references.
December 2024
2 Commits
Dec 1, 2024December 2024 (cpmodel/FTT_StandAlone): Delivered targeted documentation improvements for FTT-Heat and FTT-Power update manuals. Consolidated corrections and clarifications to enhance user guidance, consistency, and maintainability. Changes tracked in two commits across the two manuals, strengthening version control and traceability.
2 Commits
Dec 1, 2024December 2024 (cpmodel/FTT_StandAlone): Delivered targeted documentation improvements for FTT-Heat and FTT-Power update manuals. Consolidated corrections and clarifications to enhance user guidance, consistency, and maintainability. Changes tracked in two commits across the two manuals, strengthening version control and traceability.
December 2024
November 2024
1 Commits
Nov 1, 2024November 2024: Focused on stability and reliability of storage pricing calculations within the FTT StandAlone module. Fixed division-by-zero risk in storage price calculations (ftt_p_rldc.py) by adding safe-guards for zero denominators, ensuring robust operation in regions with limited wind/solar generation. Change landed in commit d0e93019956ce0bad599daf92b7e1a9808e15097 titled 'Update ftt_p_rldc.py'. Result: reduced runtime errors, more trustworthy pricing, and stronger foundation for downstream economic modeling and decision making.
November 2024
1 Commits
Nov 1, 2024November 2024: Focused on stability and reliability of storage pricing calculations within the FTT StandAlone module. Fixed division-by-zero risk in storage price calculations (ftt_p_rldc.py) by adding safe-guards for zero denominators, ensuring robust operation in regions with limited wind/solar generation. Change landed in commit d0e93019956ce0bad599daf92b7e1a9808e15097 titled 'Update ftt_p_rldc.py'. Result: reduced runtime errors, more trustworthy pricing, and stronger foundation for downstream economic modeling and decision making.
Activity
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Quality Metrics
Correctness95.8%
Maintainability95.8%
Architecture94.2%
Performance95.0%
AI Usage34.2%
Skills & Technologies
Programming Languages
CSVMarkdownPython
Technical Skills
Code CleanupCode RefactoringData AnalysisData EngineeringDocumentationDocumentation ImprovementLicensingNumbaNumerical ComputingParallel ComputingPerformance OptimizationPythonSoftware DevelopmentSoftware MaintenanceTechnical Writing
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