Edgar Cano
Data Science Specialist
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolEdgar Cano is a Data Science Specialist with over 11 years of experience combining academic rigor and industry impact, currently driving data science initiatives at Intact in Montreal. He holds a Ph.D. focused on volumetric spine reconstruction from ultrasound, where he applied machine learning to predict scoliosis progression—a blend of healthcare motivation and advanced shape-analysis research not often found in insurance analytics. Previously he progressed from Data Scientist to Senior Data Scientist at Intact, bringing production ML and applied research experience to business problems. Edgar’s background as a professor at UNAM and long history as an IT consultant and systems administrator give him strong communication skills and practical systems know-how. He is comfortable moving between research, teaching, and production environments to translate complex models into actionable solutions.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, with mention of excellence, Computer Science, Excellent, Doctor of Philosophy - PhD, with mention of excellence, Computer Science, Excellent at École de technologie supérieureUniversidad Nacional Autónoma de México (UNAM)
Github Skills (5)
cuda9
python4
machine-learning3
data-science3
ml1
Programming languages (5)
Github contributions (5)
eegkno/CUDA_by_practice
Dec 2014 - Jan 2020
CUDA by practice
Contributions:1 release, 53 commits, 18 PRs in 5 years 1 month
cuda
eegkno/mltoolbox
Feb 2017 - Jun 2019
Set of tools for ML in Python.
Contributions:1 release, 46 PRs, 202 pushes in 2 years 3 months
pythonmlmachine-learningdata-science
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