Machine Learning
Knee MRI Abnormality Detection
Multimodal machine learning for detecting knee abnormalities using MRI studies and radiology reports.
Muneeb Nawaz
I work across machine learning, data analytics, and data engineering, turning complex data into useful predictions, insights, and decision-support systems.
Selected Work
Machine Learning
Multimodal machine learning for detecting knee abnormalities using MRI studies and radiology reports.
Deep Learning
Deep learning research using heterogeneous domain adaptation across neuroimaging and facial-image data.
Data Engineering
A large-scale news intelligence pipeline for generating company-level distress and risk signals from GDELT data.
About
I'm a data scientist with a background in engineering and a strong interest in machine learning, artificial intelligence, and data-driven problem solving.
My path into data science started through computational engineering, where I became increasingly interested in programming, algorithms, and using data to solve complex problems. I later completed a Master of Data Science, with research focused on deep learning and heterogeneous domain adaptation.
Today, I work across machine learning, data analytics, and data engineering. I enjoy building practical systems that turn large, complex datasets into useful predictions, signals, and insights.