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Nizamuddin Sardar

Data Science and Deep Learning

Nizamuddin Mansoor Sardar is a professional with extensive knowledge in Machine Learning and Deep Learning concepts, backed by a strong background in Mathematics.

He is experienced in using various Machine Learning Python libraries such as Keras, Tensorflow, OpenCV, scikit-learn, pandas, and numpy, and has implemented several Convolutional Neural Networks Architectures like VGG16, MobileNetV2, ResNet, and AlexNet in his projects.

Nizamuddin has worked on tasks including transfer learning, dealing with unbalanced datasets, sequential data analysis, and hyperparameter optimization. He is currently focused on explainability and interpretability in Deep Learning Architectures and has a keen interest in Explainable AI, GANs, and Active Learning.

In terms of education, Nizamuddin pursued a Master of Engineering with a specialization in Data Science from Carleton University and holds a Bachelor of Technology in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University.

His professional journey includes roles such as an Interviewer at Statistics Canada, a former Graduate Teaching Assistant at Carleton University, an Assistant Systems Engineer at Tata Consultancy Services, and a Summer Intern at Bharat Heavy Electricals Limited.

Nizamuddin Sardar
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Location

Ottawa, Ontario, Canada