Data Science Cafe - New edition

It has been a while, but now we are ready to restart our Data Science Café!

During 2017 – 2019 we had much fun sharing in a cosy and relaxed environment about our profession and passion: Data Science. During these conversations, we learned about Data Science and expanded our professional networks and several of us also developed friendships.

Now, after Corona, we have learned the importance of face2face events and building community. That is why we are aiming to relaunch the Data Science Café here in Vienna.

In this new edition we have some twists that you probably would like:

· Data4Autism: Here you can explore 4 challenges of solutions that can be implemented using Data Science to help children and people that live with Autism condition. If you are quite knowledgeable about Data Science and now you want to challenge yourself, join this section and go from the idea to the product with the guidance of another Data Scientist and the mom of an autistic child.

The challenges are:
- Speech to Pictogram
- Music composition app to promote verbality
- From goal to Data and back again - Backbone to developmental interventions.
- Emotional Duolingo.

· Mentor sections: we are going to have 7 mentors in different areas. You can join them if you want to deep dive into their topics and expertise.

o Manuel Pasieka: https://www.linkedin.com/in/manuelpasieka/ MLOps
o Maria Ines Plaza: https://www.linkedin.com/in/maria-ines-plaza-schwarck/ Lean Inception from idea to data product in a very simple methodology.
o Margot Mückstein: https://www.linkedin.com/in/margot-m%C3%BCckstein/ Your career in Data Science, how to sell your skills in your organization and how to negotiate salaries on
o Liad Magen: https://www.linkedin.com/in/liadmagen/ Natural Language Processing
o Mohamed Auf: https://www.linkedin.com/in/mohauf/ Data Engineering
o Yudan Lin: https://www.linkedin.com/in/yudanlin/ Data Science in society taboos.

Not interested in any of these options, no problem. There is always space like our traditional event to join other colleagues and choose your own topic.

Everyone is welcome to come and share their own ideas, or simply explore and decide if there is a project you want to be involved in. You can participate regardless of your experience in Data Science - all you need is some curiosity, your computer, and the willingness to talk to other Data Science enthusiasts around you.

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FINAL DETAILS
Please let us know your email address in the mandatory field when RSVPing, so we can include you in the Slack Channel.

What we provide:

• A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.

What to bring:

• A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas