Fouad Amer
Principal Data Scientist
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolFouad Amer is a Principal Data Scientist with nine years of experience applying machine learning, process mining, and behavioral analytics to optimize construction workflows and customer experiences at Autodesk. He leads enterprise initiatives—from CLV and renewal prediction models to large-scale recommender systems and agentic AI—that translate product telemetry and CRM data into actionable adoption and retention strategies for the Autodesk Construction Cloud. With a PhD in Civil Engineering and an MCS in Data Science from UIUC, he uniquely bridges construction domain expertise and advanced data science, having earlier built VDC workflows and reality modeling for field operations. He also teaches and publishes applied research, and unexpectedly combines his technical career with artisanal entrepreneurship as a co-founder of a family extra virgin olive oil atelier.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Civil Engineering, Doctor of Philosophy (Ph.D.), Civil Engineering at University of Illinois Urbana-ChampaignBachelor of Engineering (BE), Civil Engineering, Bachelor of Engineering (BE), Civil Engineering at Lebanese American University
Spanish, English, French, Arabic
Github Skills (18)
3d-reconstruction8
intrinsics7
pipeline6
opencv6
python6
structure-from-motion5
medical4
segmentation3
semantic3
user-friendly3
semantic-segmentation3
pixel3
truth2
pytorch2
infrastructure2
Programming languages (2)
Github contributions (5)
fouadAmer/CoCoTA_
Aug 2019 - Jun 2020
CoCoTA: An active learning based text annotation tool for Construction Schedule Activities
Contributions:1 release, 2 PRs, 22 pushes in 10 months
nlpactive-learningtext-annotationtext-annotation-toolannotator
Vedhus/InstaDam
Feb 2019 - Apr 2019
Application to create ground truth pixel-wise labels for deep learning based semantic segmentation of complex shapes like mechanical/structural defects in civil infrastructure like buildings and bridges or medical images in a user friendly manner.
Contributions:36 commits, 32 pushes, 9 branches in 2 months
semantic-segmentationtruthcomplex-shapescivilmechanical
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