Sahel Eskandar
Senior Consultant at CIBC
Canada
Summary
👤
Senior🎓
Top SchoolSahel Eskandar is a data-savvy Senior Consultant and ML engineer with over six years of hands-on experience building predictive models, automation pipelines, and analytics products across finance, academia, and industry. At CIBC Capital Markets he led AI/ML strategies that improved FX and cross-border payment operations, and now drives business analytics as a Senior Consultant at CIBC. His background includes PhD-level research and teaching at McMaster University where he published peer-reviewed work, developed deep-learning signal recognition models, and led a wearable-sensor study on worker safety that merged ethics, experimental design, and production-grade ML. Comfortable moving between research and production, he has repeatedly sped up processes (eg. 5x data system improvements, 30% faster reporting) by combining Python, SQL, and automation. Based in Canada, he brings a rare blend of academic rigor and product-focused delivery that helps organizations turn complex data into actionable revenue and safety outcomes.
6 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Engineering, Doctor of Philosophy (PhD) Engineering at McMaster UniversityMaster of Science (MSc) Engineering and Management, Master of Science (MSc) Engineering and Management at University of Tehran
English, Persian
Github Skills (12)
python9
machine-learning9
deep-learning8
tensorflow8
fuzzy-logic7
data-science7
neural-network7
time-series-forecasting6
ml5
deep-neural-networks5
fuzzy4
inference2
Programming languages (3)
Github contributions (5)
Sahel-Eskandar/DataScience-Projects
Aug 2022 - Jan 2023
Contributions:29 commits, 50 pushes, 1 branch in 5 months
Sahel-Eskandar/Sahel-Eskandar
Mar 2023 - Aug 2024
Contributions:29 pushes, 1 branch in 1 year 6 months
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