Summary
Hussein Mansour is a data scientist and machine learning engineer with eight years of experience building production ML systems and data-driven products across telecom, retail, and software engineering domains. He has delivered measurable business impact — from a 20% churn reduction and 11% lift in customer LTV at Zain Group to A/B-tested promotional gains at BJ’s Wholesale Club — by combining robust modeling with practical experimentation. Technically fluent in distributed training, C++/CUDA inference optimizations, ONNX/TensorRT pipelines, and end-to-end deployment (Docker, Kubernetes, AWS SageMaker), he optimizes both training and low-latency inference for large models. Hussein pairs that systems expertise with full-stack data product experience (Python, Django, React) and a hands-on academic background from Texas A&M and the University of Khartoum. Colleagues know him for translating complex ML research into interpretable dashboards and targeted campaigns that move KPIs, and for squeezing significant latency and ROI improvements from production models.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Electrical & Electronic Engineering specializing in Software Engineering, Bachelor's degree Electrical & Electronic Engineering specializing in Software Engineering at University of Khartoum
Master of Science - MS Data Science, Master of Science - MS Data Science at Texas A&M University