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Husayn El Sharif
Senior Data Scientist specializing in geospatial ML and environmental analytics
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Applied ML practitioner who deployed a near-real-time water-quality monitoring tool for Gwinnett County by fusing ESA satellite imagery with in-situ measurements to predict chlorophyll-A and support early warnings for harmful algal blooms. Also working on a multimodal deep-learning project combining skin lesion images with patient tabular/text data (TensorFlow, embeddings) to predict melanoma risk.
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Key Strengths
- Built and deployed near-real-time ML system using ESA satellite imagery to estimate chlorophyll-A for Lake Lanier
- Experience fusing heterogeneous data sources (in-situ measurements + multi-channel imagery) for predictive modeling
- Scalable processing of terabytes of imagery using Google Cloud Platform
- Strong model selection/validation discipline (literature-driven approach + 5-fold cross-validation)
- Practical data cleaning with domain verification (outlier review with field technicians)
- Developed automated imagery quality filtering for sunglint contamination using channel-threshold heuristics
- Delivered production tool under funding/deadline constraints with accuracy targets tied to regulatory needs
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