Welcome to the Data Science Experience Day 2024. Our Chairman of the Day will officially open the event in the JADS Chapel.
Talk to the present companies at the company market and get to know more about what is possible within data science!
Get a professional picture taken for your CV or LinkedIn profile.
Enjoy some free food and bubble tea!
Are you a bachelor student that takes logic and set? Do not worry as we provide a room for you to make the weekly test.
Thank you for attending the DEX of 2024!
In the bar of JADS we will provide some drinks for you at the end of the event.
Discover the use of GenAI in Health insurance with CZ. Are you an enthusiastic JADS student looking to contribute to the future of health insurance? CZ offers you the opportunity to participate in a challenging business case that will test your analytical and problem-solving skills. CZ is investing in AI as part of our automation and digitalization strategy. During this business case, you will get a taste of how Generative AI (GenAI) is used within CZ. This hands-on workshop will allow you to: Work with real data and practical cases. Collaborate with data scientists from CZ (both JADS alumni). Apply GenAI to a customer service usecase. Deepen your knowledge of Python. Expand your network and gain valuable contacts. Don't miss this chance to showcase your knowledge and skills and let's see if we can contribute to CZ's digital transformation. Sign up now and take the first step towards a promising career!
Fraud detection is considered an archetypal application of machine learning within the banking sector. However, whilst the internet is littered with blog posts tackling the problem as one of imbalanced classification, in real-life applications financial institutions detecting fraud often do not have the luxury of labelled data. The reason is two-fold. It is partly practical – as it can be time consuming for domain experts to label a transaction as fraudulent or legitimate – but also more fundamental – fraudsters are constantly adapting their behaviour to avoid detection, meaning that a model trained on yesterday’s fraudulent activities may not be sufficient to detect today’s fraud. The task is to build an anomaly detection algorithm to detect suspicious transactions in an anonymized credit card transaction dataset.
Aiming to improve your coding skills and learn to write high-quality, professional codebases? Look no further! In this hands-on workshop, we will introduce you to the practice of test-driven development. You will learn how to write tests that ensure that your code is working as desired, and how to use those tests to drive your development process. In this interactive session, you will discover how to build better software by writing tests first, and then writing your functional code to pass those tests. Also, we will cover how to avoid common pitfalls in the testing process. By the end of this workshop, you will have gained a solid understanding of the principles of test-driven development and how to apply them to your own projects. You'll be equipped with the skills and knowledge to write reliable, maintainable code that meets the highest standards of quality.
Presentation by the following companies: Datalane, Rijkzwaan and Louwman
Presentation by the following companies: My Jewellery and Republiq
Presentation by the following companies: van Lansschot and 3DM
During this 1.5-hour workshop, students will receive guidance on how to create a professional CV and LinkedIn profile. It is an interactive session where students also bring their own CVs and LinkedIn profiles, giving and receiving feedback on them.
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