I’m Husayn, a Senior Data Scientist and Georgia Tech Ph.D. with over eight years of experience working with machine learning, geospatial analytics, and complex real world data. I enjoy taking messy information and turning it into insights that help people make better decisions. My work spans remote sensing, environmental analytics, and applied AI, backed by models, pipelines, and dashboards I’ve built for researchers, engineers, and operational teams. I also mentor students and early career professionals who are developing their skills in data science and programming. Grounded in civil engineering and hydrology, I bring a practical way of understanding complex systems, and that foundation still shapes how I approach data and problem solving. I now apply these skills across a wider range of fields where careful analysis can support meaningful, evidence based improvements in science, technology, and public health.

Husayn El Sharif

I’m Husayn, a Senior Data Scientist and Georgia Tech Ph.D. with over eight years of experience working with machine learning, geospatial analytics, and complex real world data. I enjoy taking messy information and turning it into insights that help people make better decisions. My work spans remote sensing, environmental analytics, and applied AI, backed by models, pipelines, and dashboards I’ve built for researchers, engineers, and operational teams. I also mentor students and early career professionals who are developing their skills in data science and programming. Grounded in civil engineering and hydrology, I bring a practical way of understanding complex systems, and that foundation still shapes how I approach data and problem solving. I now apply these skills across a wider range of fields where careful analysis can support meaningful, evidence based improvements in science, technology, and public health.

Available to hire

I’m Husayn, a Senior Data Scientist and Georgia Tech Ph.D. with over eight years of experience working with machine learning, geospatial analytics, and complex real world data. I enjoy taking messy information and turning it into insights that help people make better decisions.

My work spans remote sensing, environmental analytics, and applied AI, backed by models, pipelines, and dashboards I’ve built for researchers, engineers, and operational teams. I also mentor students and early career professionals who are developing their skills in data science and programming.

Grounded in civil engineering and hydrology, I bring a practical way of understanding complex systems, and that foundation still shapes how I approach data and problem solving. I now apply these skills across a wider range of fields where careful analysis can support meaningful, evidence based improvements in science, technology, and public health.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Data Scientist (Research Engineer) at Georgia Institute of Technology, School of Civil & Environmental Engineering
March 1, 2021 - Present
Developed end-to-end ML applications and dashboards for near-real-time water quality monitoring in Georgia’s Lake Lanier, enabling proactive, data-driven decisions for the Gwinnett County Dept. of Water Resources. Applied deep learning models (RNN/LSTM) to forecast crop yield and irrigation demand. Built a multi-agent GenAI system (CrewAI + LangChain + GPT + Gemini LLMs) to automate hydrology literature review workflows, reducing a 7-day manual research process to 1 day and accelerating scientific reporting productivity by ~85%.
Engineering Consultant (Part-Time) at 4Earth, Inc.
August 1, 2022 - August 1, 2025
Developed physics- and data-driven system models and AI-Ops pipelines for real-time AWS IoT sensor analytics, improving engineering efficiency and reducing time-to-market by 20%.
Data Scientist (Postdoctoral Fellow) at Georgia Institute of Technology, School of Civil & Environmental Engineering
May 1, 2019 - March 1, 2021
Applied ML and geospatial analytics to improve predictive flood-risk models, delivering actionable intelligence for government and community resilience planning across East Africa. Developed ML techniques that improved climate forecast accuracy and spatial coherence by over 50%, strengthening data-driven insights for long-term water resources planning and policy.
Machine Learning Researcher (Ph.D. Research) at Georgia Institute of Technology, School of Civil & Environmental Engineering
September 1, 2012 - May 1, 2019
Applied ML to fuse multi-sensor NASA satellite imagery and climate time-series data, boosting accuracy of crop-yield, drought, irrigation, and streamflow forecasts and enabling basin-scale, data-driven water-management decisions across multi-decadal climate scenarios.
Data Scientist (Graduate Research Assistant) at Florida Atlantic University, Department of Civil, Environmental, & Geomatics Engineering
May 1, 2010 - August 1, 2012
Built and validated ML models to reconstruct missing environmental data, improving accuracy and spatial consistency for hydrologic and climate analyses.

Education

PhD in Civil Engineering at Georgia Institute of Technology
January 11, 2030 - May 1, 2019
Master of Science in Civil Engineering at Georgia Institute of Technology
January 11, 2030 - May 1, 2016
Bachelor of Science in Civil Engineering at Florida Atlantic University
January 11, 2030 - August 1, 2011
Ph.D. at Georgia Institute of Technology
January 11, 2030 - May 1, 2019
Master of Science at Georgia Institute of Technology
January 11, 2030 - May 1, 2016
Bachelor of Science at Florida Atlantic University
January 11, 2030 - May 1, 2011

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Government, Other, Energy & Utilities, Computers & Electronics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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