Celio Oliveria


Celio is a graduate student at the University of Toronto at the Master of Information Human-Centred Data Science with a collaborative specialization in Knowledge Media Design. As a Data Scientist he created a Percentile Error Mapping technique for bias calibration at the National Research Council Canada in 2020 and in 2019 he was nominated finalist of the North America Software Testing and QE Award under the category “Best use of technology in a Project” with a Pattern Recognition solution for Testing Automation based in Natural Language Processing and mapping algorithms.

In the past he was a professional Ballet Dancer with a Diploma from the Royal Ballet Academy in London, England. Celio also holds an MBA in Marketing and Sales, a college diploma in International Business. He is a Certified Data Scientist at IBM and WeCloudData Institute since 2019.




Why did you get involved in this project?

Because it was part of the Knowledge Media Design specialization I am pursuing at the UofT together with my Grad studies. Moreover, it is a very interesting project. I have a BA degree as well and it is always good to be in contact with the art industry.

Did the one week turn-around for the work help or hinder your creativity?

It actually helped. I could set a schedule and follow it through.

How did you feel about working on a project where you didn’t know who you were collaborating with?

It is fine, we are interconnected, and reactions as a response from our interactions cannot be predicted all the time anyway. The surprise element made it even more interesting.

Has being involved in the project changed your thoughts on creativity?

It certainly made me more conscious about the flow of my work. It needed to be understandable to continue preserving the original line of thought.

If you worked on several videos, what kept you coming back for more and how many did you do?

I participated in two videos, one as the imaging provider and the other as a text/content provider.

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