
During November 2024, Bellanto developed the Magnetic Field Analysis Tools within the EMPHATICSoft/emphaticsoft repository, delivering an Xcode-based solution for scientific data analysis and simulation. The tool enables researchers to manipulate, process, and visualize magnetic field datasets, streamlining data preparation and accelerating simulation workflows. Bellanto applied C++, Objective-C, and Python to implement numerical calculations and data visualization features, integrating robust macOS and Xcode development practices. The work established an end-to-end analytics workflow for magnetic field data, laying a foundation for future modeling and dashboard enhancements. The project demonstrated depth in scientific computing and disciplined version control throughout the development process.
November 2024 highlights: Delivered the Magnetic Field Analysis Tools (Xcode-based) enabling data manipulation, numerical calculations, processing, and visualization of magnetic field data. This feature directly supports scientific data analysis and simulation workflows, reducing manual data preparation and turnaround time for research. The work lays the groundwork for additional models and visualization dashboards, strengthening our analytics capability and accelerating domain insights. Technical execution demonstrates strong macOS/Xcode tooling, Swift/Objective-C proficiency, numerical methods, and data visualization practices, backed by disciplined version control (commit 93f7446911b93adf96f077a847054ddbfebad742).
November 2024 highlights: Delivered the Magnetic Field Analysis Tools (Xcode-based) enabling data manipulation, numerical calculations, processing, and visualization of magnetic field data. This feature directly supports scientific data analysis and simulation workflows, reducing manual data preparation and turnaround time for research. The work lays the groundwork for additional models and visualization dashboards, strengthening our analytics capability and accelerating domain insights. Technical execution demonstrates strong macOS/Xcode tooling, Swift/Objective-C proficiency, numerical methods, and data visualization practices, backed by disciplined version control (commit 93f7446911b93adf96f077a847054ddbfebad742).

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