
Over two months, M.A. Stoll developed and enhanced aerodynamic modeling and data visualization features for the PaSieg0/Ekranoplan-DSE repository. Stoll implemented spanwise lift calculations, drag and moment distribution modules, and improved lift curve interpolation, supporting higher-fidelity aircraft performance simulations. Using Python, Numpy, and Matplotlib, Stoll integrated JSON data processing and introduced budgeting tools, enabling clearer cost and fuel efficiency analysis. The work included robust debugging, code documentation, and enhancements to plotting scripts for presentation-ready visuals. Stoll’s contributions addressed both feature development and bug fixes, demonstrating depth in scientific computing and a focus on maintainable, data-driven engineering solutions.

June 2025 (2025-06) performance summary for PaSieg0/Ekranoplan-DSE. Delivered substantial aerodynamic modeling enhancements, data integration, and project controls, supporting higher-fidelity simulations, more informed design decisions, and clearer visibility into costs. The work focused on delivering robust features with measurable business value and maintaining code quality across the repository PaSieg0/Ekranoplan-DSE.
June 2025 (2025-06) performance summary for PaSieg0/Ekranoplan-DSE. Delivered substantial aerodynamic modeling enhancements, data integration, and project controls, supporting higher-fidelity simulations, more informed design decisions, and clearer visibility into costs. The work focused on delivering robust features with measurable business value and maintaining code quality across the repository PaSieg0/Ekranoplan-DSE.
May 2025 monthly summary for PaSieg0/Ekranoplan-DSE focusing on delivering data-driven visualization, aerodynamic analysis capabilities, and robust drag calculations. Emphasizes business value through visual cost/fuel insights and accurate performance modeling.
May 2025 monthly summary for PaSieg0/Ekranoplan-DSE focusing on delivering data-driven visualization, aerodynamic analysis capabilities, and robust drag calculations. Emphasizes business value through visual cost/fuel insights and accurate performance modeling.
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