Summary
Emad Soheili is a Senior Data Analyst at RBC Global Asset Management with a background bridging data analytics, AI evaluation, and engineering. He combines over eight years of cross-disciplinary experience—spanning civil engineering, training and support, and AI model evaluation—to deliver practical, high-impact data solutions. Educated in computer science at the University of Colorado Boulder and trained in data analytics at the University of Toronto, he brings both rigorous technical grounding and strong domain communication skills. Notably, his experience evaluating AI models at Outlier complements his production analytics work, helping translate model behavior into business-ready insights. Based in Old Toronto, he pairs financial-sector analytics with a systems-thinking approach rooted in engineering and management studies.
3 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Civil Engineering, Bachelor's Degree Civil Engineering at Sadjad Institute of Higher Education
High School Mathematic and physics, High School Mathematic and physics at National Organization for Development of Exceptional Talents (Sampad)
Boot Camp Data Analytics, Boot Camp Data Analytics at University of Toronto
Master's Degree Civil Engineering - Structure, Master's Degree Civil Engineering - Structure at University of Tehran
Master's degree Computer Science, Master's degree Computer Science at University of Colorado Boulder
Persian, English, French