Ali Shaban is a senior data scientist who blends AI rigor with strategic business insight, currently applying cutting-edge ML at Meta in New York. With four years of industry experience, he previously built and deployed models at AWS that reduced fraud-related losses by ~15% and improved threat detection by 3.5x, plus scalable threat intelligence sharing across teams. He also led research on Knowledge Graph Embedding using Graph Transformers for fraud and anomaly detection, presenting the work at AMLC 2023. Ali's background spans auto, e-commerce, security, and biomolecular research, and he holds multiple master's degrees in management, data science, and international business with highest honors. Based in NYC, he translates complex data into practical, scalable solutions through hands-on deployment and cross-domain experimentation.
4 years of coding experience
8 years of employment as a software developer
Master's degree, Management, Grade 1.3 With Highest Honor, Master's degree, Management, Grade 1.3 With Highest Honor at Graduate School of Management St. Petersburg State University
Bachelor's degree, Applied mathematics and Physics, Grade - 1.0 With Highest Honor, Bachelor's degree, Applied mathematics and Physics, Grade - 1.0 With Highest Honor at Saint Petersburg State University
Master's degree, International Business, Master's degree, International Business at CEMS - The Global Alliance in Management Education
Master's degree, Data Science, 1.7, Master's degree, Data Science, 1.7 at University of Mannheim
Master's degree, International Business, Master's degree, International Business at HEC Paris
Link entities in videos from YouTube to a knowledge graph
Contributions:3 commits in 1 day
knowledgevideosyoutubeknowledge-graphlink
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