While there was one target for the teaching case study that was originally planned, the new book format meant that the target audience could be expanded upon. “And in the meantime, there would be some heads down work on our end where we were just implementing several algorithms and working on the pure coding.” “The way it would work typically is we would collaborate with on how we were going to approach a problem, and the different steps, and we would just receive guidance and help troubleshoot,” said Pentecoste. Cohen as research assistants when the project began, Pentecoste and Gras were able to work closely with the professor till to the end, even once they had graduated and left their roles as research assistants, moving onto careers as data scientists. I told ‘Look, unfortunately, this is not a case study anymore. “There was so much material, the case study was going very well and was 60, 70, 80 pages long. “ We wanted to build a case study based on real-world experience for a lecture, to teach students how to predict demand,” Cohen explained. Maxime Cohen’s new book, Demand Prediction in Retail – A Practical Guide to Leverage Data and Predictive Analytics is scheduled to hit shelves on January 3, 2022. Renyu Zhang, Professor of Operations Management at NYU Shanghai, and Arthur Pentecoste and Paul-Emile Gras, two graduates of the McGill Desautels Master of Management in Analytics (MMA), Prof.
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