Sareh Nejad is a data scientist and AI engineer based in Vancouver with 9 years of experience delivering scalable ML solutions and uncovering insights from high-dimensional data. She is currently at BrainsCAN, building robust data preprocessing pipelines to boost data quality for downstream analytics. At Vector Institute she deployed anomaly detection across 12 companies, boosting banking fraud detection accuracy by 27% and reducing false positives by 15%. As a Machine Learning Research Engineer at Western University, she advanced video-based anomaly detection using MIL and I3D features, achieving an 85% AUC on large surveillance datasets. Earlier roles include 3D medical imaging visualizations and CBCT-based panoramic reconstructions at IPM Brain Center, accelerating diagnostics for dental surgeons. She earned a Master of Science in Computer Science with a Computer Vision specialization from Western University and holds a BS in Computer Engineering from Amirkabir University of Technology, underpinned by a strong foundation in physics from Sampad; she is passionate about applying ML to healthcare and finance while continuously learning.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Computer Vision, 4/4, Master of Science - MS, Computer Science, Computer Vision, 4/4 at Western University
Amirkabir University of Technology
Diploma, Physics, 19.92/20, Diploma, Physics, 19.92/20 at National Organization for Development of Exceptional Talents (Sampad)
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Sareh Nejad - Data Scientist - AI Engineer BrainsCAN