Nabil Shehadeh

University of Southern California — 2026

data, analytics, & design

01AI Projects

Cohort Finder

An internal research tool for assembling cohorts of radiology studies from messy free-text labels — search, filter, and export imaging studies with machine-predicted uncertainty made legible.

ReactRadiologyML UncertaintyData Tooling
02Data Science

Real-Time Network Traffic Anomaly Detection

A comprehensive system for detecting network anomalies in real-time using machine learning and streaming data processing.

Apache SparkKafkaIsolation ForestAutoencodersScikit-learnStreamlitPythonNetwork AnalysisAnomaly Detection
03Data Science

Credit Card Fraud Detection System

A production-ready ML system detecting fraudulent transactions in real-time using a six-model ensemble with sub-100ms prediction latency.

PythonLightGBMXGBoostFastAPISHAPEnsemble MethodsFeature EngineeringDocker
Portfolio by Nabil Shehadeh, 2026Analysis: Python, Pandas, Scikit-learn | Frontend: React, Recharts