Ammar Alyousfi is a Senior Data Scientist based in Dubai with nine years of experience building end-to-end data products that process billions of records daily for global brands like Toyota and Gillette. He combines strong academic credentials—a Master’s with distinction in Data Science and a top-ranked Computer Engineering bachelor’s—with hands-on expertise in BigQuery, Athena, cloud ML for NLP and vision, and full-stack dashboards built with Plotly Dash. At Touchstorm he architected scalable data pipelines, real-time language detection and sentiment tools, and YouTube analytics products that power brand listening and competitive benchmarking. His analysis of YouTube trends gained wide media attention (TechCrunch, The Hustle), reflecting an ability to turn large-scale data into actionable stories. Known for shipping production-ready systems and automating tedious workflows, he also mentors learners in applied AI and maintains a practical, product-focused approach to ML solutions.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Engineering, 93.9%, Bachelor's degree, Computer Engineering, 93.9% at Princess Sumaya University for Technology
Master's degree, Computer Science, 3.98, Master's degree, Computer Science, 3.98 at University of Malaya
Notes for LANL-Earthquake-Prediction Competition on Kaggle
Contributions:22 commits, 21 pushes, 1 branch in 4 days
kagglenotespythonpredictionearthquake
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