Elaheh Parhizkar

I attribute my success as a Data Scientist in large part to this extensive and in-depth education. I believe my personality has also played a major role in my ability to succeed in this career. I am extremely analytical and data-oriented. I want to look at the evidence before making decisions, even in my personal life. I enjoy analyzing outcomes. I am also a proven team player and highly motivated to learn new technologies and am constantly working on improving my knowledge and skills.

During my education experience at Concordia University, I have an academic experience in image classification using deep learning, where we used PyTorch as a framework. Methods that we used are: Data processing, Data normalization, Deep learning (used CNN models like ResNet50, AlexNet, and VGG16 to train the dataset), Transfer learning (used pre-trained models with pre-trained weights), Ablation studies (Tried different parameters to see what results are achieved.), Hyperparameter tuning and model optimization algorithms (Adam optimization and cross-entropy loss function). Also, we used different technologies such as: python and its libraries (sklearn, numpy, matplotlib, torchvision).

During my education experience at Concordia University, I have an academic experience in image classification using deep learning, where we used PyTorch as a framework. Methods that we used are: Data processing, Data normalization, Deep learning (used CNN models like ResNet50, AlexNet, and VGG16 to train the dataset), Transfer learning (used pre-trained models with pre-trained weights), Ablation studies (Tried different parameters to see what results are achieved.), Hyperparameter tuning and model optimization algorithms (Adam optimization and cross-entropy loss function). Also, we used different technologies such as: python and its libraries (sklearn, numpy, matplotlib, torchvision).