Angela has demonstrated several valuable skills through her ACH50 project. She showed strong communication abilities, presenting her work in a clear, professional format that was easy to follow. Her documentation was well-structured and transparent, acknowledging both the scope and the limitations of her analysis. She also exhibited a high level of professionalism, engaging with feedback in a positive and growth-oriented manner. Rather than resisting critique, she welcomed it as an opportunity to learn — an important trait for any engineer. This mindset reflects maturity and potential for continued development. While her technical work requires further depth to fully meet compliance standards, she nonetheless displayed analytical skills, an ability to apply standard regression and fan curve methods, and an awareness of the tradeoffs between full and reduced datasets. In summary, Angela has demonstrated communication, professionalism, analytical reasoning, and openness to feedback — qualities that will support her growth into a capable engineer.

Your project provides a clear, well-structured implementation of ACH50 calculations using both regression and manual fan curve methods. The documentation is professional in tone and acknowledges limitations. However, the code still lacks critical compliance features (baseline corrections, Annex A environmental normalization, and regression quality checks), and placeholders in the results section need to be replaced with actual values. Good progress overall, but further work is required to meet the federal specification.