Farnaz Sadeghi

Background

About Farnaz Sadeghi

I hold a Ph.D. in Computer Science from the School of Electrical Engineering and Computer Science at the University of Ottawa, with a focus on Machine Learning and AI. My research and professional experience have centered on developing and applying machine learning techniques to handle imbalanced streaming data with concept drift. I have strong expertise in Python and its core ML libraries, including NumPy, Scikit-Learn, and Scikit-MultiFlow. My skill set spans data preprocessing, feature engineering, model selection, and optimization. I also have hands-on experience in MLOps practices, including model lifecycle management, deployment, and experiment tracking using tools like MLflow. This enables me to build and manage production-ready ML systems. Beyond my technical skills, I have a proven track record of working effectively within cross-functional teams and communicating complex ideas clearly to diverse audiences. While I am not currently seeking new opportunities, I remain actively engaged in the field and open to meaningful collaboration and knowledge exchange.