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Nikoo Sabzevar

Senior Data Scientist at OMERS

Nikoo Sabzevar is an accomplished professional with over 5 years of experience in Data Science/Analysis, Machine Learning/Computer Vision, Operations Research (OR), and Statistics, showcasing strong leadership and organizational capabilities.

With a background in Mechanical Engineering and Industrial Engineering from prestigious institutions such as the University of Calgary and Sharif University of Technology, Nikoo has honed her skills in designing OR and stochastic models, developing analytical solutions, and creating heuristic algorithms.

She holds a Doctor of Philosophy (PhD) in Mechanical Engineering with a specialization in Energy and Environment from the University of Calgary, as well as a Master of Science (M.Sc.) in Mechanical Engineering and another in Industrial Engineering from the same university.

Nikoo Sabzevar has held key roles in prominent organizations, including Senior Data Scientist at OMERS, Lead Data Scientist at ATB Financial's Innovation Lab, and Skymatics. She has also contributed to academia as a Lecturer and Research Associate at the University of Calgary.

Moreover, Nikoo has been recognized for her excellence in the field, being the recipient of the prestigious "The Woman of Impact" award in 2018, acknowledging her leadership and significant contributions to the geospatial community.

Her expertise encompasses working with Deep Learning and developing Convolutional Neural Networks (CNN) for applications such as crop damage analysis using aerial imagery. Nikoo Sabzevar's versatile skill set and commitment to innovation make her a valuable asset in the fields of Data Science and Machine Learning.

Throughout her career, Nikoo has also been actively involved in various roles such as Presenter - Member at the Canadian Operations Research Society (CORS), Vice-President Finance at the Graduate Students’ Association for the Energy and Environmental Specialization (GEES), and Teaching Assistant at multiple esteemed institutions.

Nikoo Sabzevar
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Location

Toronto, Ontario, Canada