Data and ML enthusiast
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To leverage my skills in Python and Machine Learning to contribute to innovative software solutions in a technology-driven environment.
Developed a Streamlit-based simulation platform for atmospheric radiative transfer modeling, enabling multi-parameter simulations (Solar Zenith Angle, Viewing Zenith Angle, Aerosol Optical Thickness, and aerosol models) through an automated input/output workflow integrated with a Windows RT executable using batch scripting. Implemented efficient in-memory data processing for CSV generation, Mie phase function computation, and automated visualization of apparent and polarized reflectance across eight satellite spectral bands, streamlining simulation, analysis, and spectral interpretation.
Bachelor of Technology in Computer Science and Engineering – MIT World Peace University (2022 – 2026)
