Xebia Women in Data fourth edition

We are excited to have our fourth meeting of Women in Data, where we are going to present technical and soft-skill topics. Join us at our beautiful office in Wibautstraat for an insightful meetup on Data and meet more women in your field. Don’t miss out!
📅 Agenda:
17:30 - 18:00h 🍕 Walk-in + Snacks & Drinks
18:00 - 18:30h 🎙️ Taís L. Pereira - Unlearning the Ladder: Why I Went Back to Being an Analyst
18:35 - 19:05 🎙️ Sohi Sudhir - How LLMS Changed My Job and the Fraudsters' Too
19:05 - 19:45h ☕️ Networking
📍 Location:
Xebia Data
Wibautstraat 202, Amsterdam
🎙️About the talks:
Unlearning the Ladder: Why I Went Back to Being an Analyst
Most career advice in data points in one direction: go more technical, more senior, then leadership. Last year I went the other way: from Senior Analytics Engineer to Product Analyst, and it's the best career decision I've made.
I'll talk about how I ended up in analytics engineering mostly for reasons other than what I'm actually good at, and how long it took me to tell the difference between "this is hard because I'm still learning" and "this is hard because it's not how my brain works." I'll share the framework I use now to judge whether a role fits me, and why going sideways opened more doors than another year of climbing would have.
For anyone quietly wondering if there's a version of this career that fits them better, this one is for you.
How LLMS Changed My Job and the Fraudsters' Too
Over the past five years, LLMs have transformed both AI engineering and research integrity. In this talk, I’ll explore two parallel shifts: how the role of an AI engineer has evolved, and how working in research integrity at Springer Nature has changed as fraudsters adopt generative AI to manipulate scholarly publishing. I’ll also discuss how our approaches to detecting and preventing misuse have evolved in response, as we work to protect trust in science.
Sign-up instructions:

• Sign up via meetup.com
• We are looking for speakers for the next events. If you would like to give a talk, let us know the topic and a contact information.
• You may also spot this event on luma.com. You only need to sign up in one place, so use whichever you prefer https://luma.com/ed9uns3i