Omid Heidari
Investment Representative
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolOmid Heidari is a research-driven machine learning and data science practitioner with seven years of experience spanning industry roles at CIBC and multidisciplinary research positions at Concordia, UBC, and VITA. Currently a PhD student in Industrial Engineering at Concordia (and previously an MS in Computer Science), he combines academic rigor with practical applied work—ranging from teaching assistantships to data research analysis in medical and engineering domains. His GitHub contributions show hands-on model development and ensembling techniques, including a course-focused ML repo where he implemented voting classifiers and exploratory feature analysis. Comfortable moving between research and production settings, he has collaborated with diverse supervisors and labs on projects that bridge algorithm development and real-world data. Colocated in Montreal, he brings a blend of pedagogy, research mentorship, and industry experience that positions him to translate novel ML methods into impactful applications.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Concordia UniversityBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Islamic Azad UniversityBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at University of Zanjan
Persian, English, French
Stackoverflow
688reputation
258kreached
57answers
21questions
Github Skills (22)
artificial-intelligence10
data-exploration10
python10
classification10
scikit10
pandas10
machine-learning10
datatable10
ensembles10
ai10
tabular10
scikit-learn10
data-preprocessing9
php6
http-redirect6
Programming languages (9)
Github contributions (5)
SharifiZarchi/Introduction_to_Machine_Learning
Sep 2022 - Dec 2022
Machine Learning Course, Sharif University of Technology
Role in this project:
Data Scientist
Data ScientistContributions:29 commits, 4 PRs, 27 pushes in 3 months
Contributions summary:Omid's commits focus on developing and implementing machine learning models within a course related to machine learning. The primary contribution involves building a classification model to predict a target variable based on tabular data, likely leveraging techniques such as label encoding, data exploration, and model training with various algorithms, including voting classifiers (Logistic Regression, Decision Tree, and SVM). The commits suggest an interest in using model ensembling methods. The user also performed data exploration by creating a heatmap to view correlations between features.
machine-learningaiartificial-intelligence
omid-reza/redis_admin
Feb 2022 - Aug 2022
A web application for managing redis servsers
Contributions:13 releases, 2 commits, 7 PRs in 5 months
redisphpredis-server
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.