pik-piam/mrremind
Jun 2026 – Jun 2026
1 Month active
Languages Used
R
Technical Skills
R programmingdata analysisdata preprocessingdata processingfinancial modelingpackage development
Adamantios Koutsandreas
PROFILE
Adamantios Koutsandreas
Worked on the pik-piam/mrremind repository to deliver enhanced energy finance modeling features, focusing on accurate cost assessments for energy technologies. Developed and integrated new R functions for processing PHI, WACC, and cost of capital data, including macroeconomic WACC calculations, to support improved financial modeling within the REMIND framework. Emphasized robust data preprocessing and package development practices, updating versioning and citations while performing codebase maintenance for stability and release readiness. Rebuilt the library to ensure compatibility with new features and improved documentation for future maintenance. This work leveraged R programming and statistical modeling to support better financial planning and analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
524
Activity Months1
Your Network
28 peopleWork History
June 2026
5 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for pik-piam/mrremind focusing on delivering enhanced energy finance modeling features and release readiness; key achievements include implementing PHI, WACC, and cost of capital support, macro WACC calculations, and codebase maintenance; resulting in improved REMIND financial modeling, stability, and documentation. This work supports business value by enabling more accurate energy technology cost assessments and better financial planning.
5 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for pik-piam/mrremind focusing on delivering enhanced energy finance modeling features and release readiness; key achievements include implementing PHI, WACC, and cost of capital support, macro WACC calculations, and codebase maintenance; resulting in improved REMIND financial modeling, stability, and documentation. This work supports business value by enabling more accurate energy technology cost assessments and better financial planning.
June 2026
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance92.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
R
Technical Skills
R programmingdata analysisdata preprocessingdata processingfinancial modelingpackage developmentsoftware developmentstatistical modeling
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