Machine Learning Research Intern – Solar Image Analysis
OtherImageClassification
Developed and deployed an unsupervised machine learning pipeline for automated sunspot group detection in solar images. Processed raw image data using clustering for accurate classification and built validations for performance. Oversaw full data processing from reduction to visualization, ensuring consistent results.
• Designed clustering-based algorithms for label assignment
• Validated label accuracy through statistical analysis
• Managed end-to-end workflow from raw input to final output
• Leveraged Python and ML libraries for implementation
Developed and deployed an unsupervised machine learning pipeline for automated sunspot group detection in solar images. Processed raw image data using clustering for accurate classification and built validations for performance. Oversaw full data processing from reduction to visualization, ensuring consistent results. • Designed clustering-based algorithms for label assignment • Validated label accuracy through statistical analysis • Managed end-to-end workflow from raw input to final output • Leveraged Python and ML libraries for implementation
2022 - 2022