Data Analyst – Multisensory Satellite Data Preparation
I created data preprocessing pipelines and engineered features for multispectral satellite imagery to facilitate advanced model training. The work involved preparing annotated datasets for fusion models and optimizing model accuracy through careful data selection and cleaning. This required an understanding of image fusion, model hyperparameter tuning, and the nature of multispectral data labeling tasks. • Processed multisensory satellite image data for use in deep learning model training. • Labeled multispectral image data for fusion-based classification tasks. • Used feature engineering to enhance labeled data quality and relevance for AI. • Supported end-to-end pipeline for high-accuracy AI system development.