Building a Scalable Visual Search Engine Using Self-Supervised Vision Transformers
I built a deep learning–powered visual product search system that allows users to uploa...
Read MoreI like to train machine learning and deep learning models on large datasets 🧠
Alhassan Sahad is a Data Scientist based in Seattle with over 3 years of experience. He currently works at Weyerhaeuser, where he builds machine learning and deep learning models on 100M+ record SQL databases to solve business problems and drive strategic decisions. He previously served as a Data Scientist at NASA Marshall Space Flight Center, where he analyzed terabyte-scale datasets and built TensorFlow classification models for wildfire behavior analysis. He holds an M.S. in Data Science and Analytics from the University of Missouri-Columbia.
Experience

Weyerhaeuser · Data Scientist
Seattle, WA
I buiild machine models for the monitoring of 10M+ acres of forestland

NASA Marshall Space Flight Center · Data Scientist
Huntsville, AL
I worked as a Data Scientist on terabyte-scale wildfire datasets to identify patterns and trends in wildfire behavior.

Institute for Data Science and Informatics · Data Scientist
Columbia, MO
I joined the Institute of Data Science and Informatics as a Data Scientist, where I built machine learning models for environmental data analysis.

University of Missouri–Columbia
M.S. in Data Science and Analytics
I obtained a Masters Degree in Data Science and Analytics

Kwame Nkrumah University of Science and Technology
B.S. in Geological Engineering
I got my bachelors degree Engineering focused on Geology
Projects
End-to-end data science projects with full technical write-ups.
I built a deep learning–powered visual product search system that allows users to uploa...
Read MoreI built a deep learning–based computer vision system for automated fruit classification...
Read MoreI built a data-driven customer segmentation system that analyzes grocery purchase behav...
Read MoreI built a machine learning system to predict customer loyalty from historical purchase ...
Read MoreBlog
In-depth articles on machine learning concepts and data science workflows.
A practical, step-by-step checklist for preparing your dataset before any modelling work -covering missing values, outliers, en...
Read ArticleA clear, visual explanation of one of the most important concepts in machine learning -and exactly what to do when your model g...
Read ArticleContact
I'm actively looking for Data Scientist and ML Engineer roles. U.S. Permanent Resident — no sponsorship needed.