Since our trainings are based on active pedagogy, we are always hunting for interesting hands-on student projects. This time Accenture offered our Brussels AI students the opportunity to put their knowledge into practice. Their task? Exploring, modeling en visualizing the reported case data.
Are you eager to learn more about the project or are you curious about how our students have experienced this unique opportunity? Davy will tell you all about it in the interview below.
As part of the AI training, you’ve been working on a use case, provided by Accenture. Can you tell me a bit more about that use case?
“Accenture provided us with a dataset about restaurants which contained information about their location, customers, opening hours, etc. After having downloaded the dataset, we had to clean it. By extracting the missing values, we created a meaningful dataset that could serve as a basis for the actual analysis. But before we could start with the analysis, we had to look for relationships between the different tables in order to determine which variables we absolutely wanted to include. We decided to focus on finding correlations with age. Once we had completed the analysis, we had to summarize the results, visualize them and we had to provide the companies with some business advice.”
What were the most impressive results?
“The results show that people between 35 and 45 spend the most. Most of the clients are aged between 25 and 35. And the clients that are most loyal to the restaurant, are usually older than 55. Younger people tend to move more from one city to another to try out different restaurants.”
You also had to present your findings afterward. How did the presentations go?
“This was a really important part of the project. During the 15-minute presentation, we had to present a summary of our findings and had to formulate some business advice. The presentation went pretty well, except that we took 3 minutes more than allowed, but in general I was really happy with the analysis that we performed and the advice that we formulated.”
What new skills did you acquire due to this use case?
“I would say critical thinking and critical analysis. It wasn’t straightforward as they just offered us a dataset and asked us to
perform a valuable data analysis. Since there were a lot of possibilities, you had to decide for yourself which variables you wanted to work with. Given the short time span and the different steps you had to go through, it was also very important to work as a team. Finally, time management was also crucial as we had to work against a deadline.”
Have you gotten any interesting feedback from Accenture that will help you during the rest of the training?
“Yes, last week there was a feedback session. They really liked our presentation, especially our conclusion and business advice. Even though it was a bit too long, the presentation was clean and straightforward.”
How did you experience this project?
“I had a lot of stress because we first had to learn how to use PowerBI, a new tool to visualize our results. Overall it was a great experience as we got the chance to work on a real-life project. We also learned how to work on a concrete business assignment as a team.”
What is according to you the added value of such projects in the AI bootcamp?
“These kinds of projects show us how to use different data analysis tools. We are mostly focusing on Python, but there are many other tools to use such as PowerBI. Also, the more you work on such projects, the more you can sharpen your team working skills and critical thinking. You’ll also learn how to interact with a client and other intermediaries.”
Is there anything you would like to add?
“The more that we can work on these kinds of projects, the more we’ll grow in the data science field. If it could be possible, it would be nice to work on projects like these every two weeks.”
Side note: This use case was an exercise as part of the BeCode curriculum to which Accenture contributes.
Are you interested in following the AI Bootcamp?
Amazing! – We have a new class starting in Brussels on the 13th of April.