Research Assistant (Current Employee) – Montréal, QC – 20 January 2019
There are many young professors, passionate for conducting research in new fields. These knowledgable professors are usually available and eager to guide you. There is also a good academic environment to share the idea with other students and improve them.
Very beneficial when it comes to hands on experience
Internship; Research Assistant (Former Employee) – Montréal, QC – 14 January 2019
after years of studying from books and having handwritten exams, this internship helped me see how theories are being applied in the field and how to think outside of the box to find solutions to problems that weren't expected.
Happy with y experience at concordia university. The facilities university provides are great. So so much study space and all different types of settings. 24x7 access to library. You can also issue laptops, ipads etc in case yours breakdown.Good professors and nice projects.
Hard-work enthusiastic in machine learning, data science, medical imaging
Medical Imaging Researcher (Former Employee) – Montréal, QC – 13 October 2018
Data Scientist with strong math background and 3+ years of experience using predictive modeling, data processing, and data mining algorithms to solve challenging problems. Involved in Python open source community and passionate about researches using machine learning and computer vision algorithms for data analysis. Team-oriented with experience leading and working in groups in both academic and employment settings.
Shows a sincere interest in employees and the solutions to their problems, Lends support and guidance to employees, Uses sound coaching techniques to solve disciplinary problems and Provides continuous coaching
Research and Development Assistant (Former Employee) – Montréal, QC – 28 September 2018
The best staff that I ever worked with. Moreover, the work was varied so each day had a new challenge. Should I have stayed there though, at one point it would have been less intellectually stimulating!