Add info about AMLD EPFL to README

README.md

@@ -10,3 +10,4 @@ Feel free to explore and get in touch!
 | 🇩🇪 PyCon DE & PyData Berlin 2023 | [The bumps in the road: A retrospective on my data visualisation mistakes](https://2023.pycon.de/program/7FTL7H/)                                                             | [2023_PyData_Berlin_slides.pdf](./2023_PyData_Berlin/2023_PyData_Berlin_slides.pdf) | https://youtu.be/slOm7ztgnfM |
 | 🇮🇹 PyCon<sup>(IT)</sup> 2023     | [The bumps in the road: A retrospective on my data visualisation mistakes](https://pycon.it/en/event/the-bumps-in-the-road-a-retrospective-on-my-data-visualisation-mistakes) | [2023_PyConIT_slides.pdf.pdf](./2023_PyConIT/2023_PyConIT_slides.pdf)               | https://youtu.be/QjaHXpzU5xg |
 | 🇨🇭 EuroSciPy 2023                | [Why I Follow CI/CD Principles When Writing Code: Building Robust and Reproducible Applications](https://pretalx.com/euroscipy-2023/talk/UBT8PH/)                             | [2023_EuroSciPy_slides.pdf](./2023_EuroSciPy/2023_EuroSciPy_slides.pdf)             | https://youtu.be/KDTljKB2qw8 |
+| 🇨🇭 AMLD EPFL 2024                | [Code, Debug, Reuse this Chart](https://2024.appliedmldays.org/programme-live-1?coday=2024-03-24&embed=&advSearchTxt=code%20debug%20reuse%20this%20chart&dtFormat=d/m)        | [ChartCraftHub](https://kislovskiy.github.io/ChartCraftHub/)                        | 🙁 None                      |