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Details

The special edition ofWomen in Data Meetup for the Eindhoven Data Community aims to foster a space for meaningful conversations, networking, and shared learning among data professionals. While the event spotlights women’s voices and experiences, it warmly welcomes everyone to join the conversations. Join us to connect, exchange ideas, and get inspired by the journeys of others in the data community.

Program

  • 17:00 – 18:00 🍕 Food
  • 18:00 – 18:10 🎤 Welcome
  • 18:10 – 19:00 🎤 Mariam Halfhide | Balancing the spectrum and finding your truth
  • 19:00 – 19:15 ⏸️ Break
  • 19:15 – 20:00 🎤 Christianne Wisse | No guts No glory: How we Replaced a Legacy Model in Six Months
  • 20:00-21:00 🥤 Drinks

Mariam Halfhide | Principal consultant Data & AI strategy
Mariam Halfhide is a Data Strategy expert dedicated to advancing responsible and ethical AI. She believes technology and ethics shape each other. AI doesn’t just fit into our moral frameworks, it challenges and evolves them. Mariam promotes a holistic approach to AI adoption, integrating ethics, regulation, education, and governance beyond data and algorithms. With a background in econometrics and data strategy, she helps organizations build sustainable, data-driven maturity, empowering them to use AI responsibly while addressing the societal fragilities technology can reveal.

🎤 Balancing the spectrum and finding your truth
Technology thrives when diverse qualities are valued — Mariam will share how to balance the spectrum by embracing both sides of yourself to find your truth.

Christianne Wisse | Lead Data Scientist / Engineer
Christianne Wisse is a Lead Engineer and Data Scientist with a passion for turning complex operational challenges into scalable, data-driven solutions that empower organizations to make smarter decisions. With 6 years of experience in optimising logistical processes at Bol., she thrives at the intersection of analytics, engineering, and data science.

🎤 No guts No glory: How we Replaced a Legacy Model in Six Months
Imagine planning our warehouse capacity with a static, one-size-fits-none model that made even the simplest change feel like open-heart surgery. With peak season just 6 months away and our static, legacy model straining under pressure to increase peak capacity, we had a choice: tweak around the edges again or rethink the whole thing.

No guts no glory, right? We finally rethought the whole thing! In this talk, you’ll get a look at how we tackled challenges spanning various business processes, diverse stakeholder needs, technical design, and data complexity. We’ll walk you through the messy, high-stakes reality and how we made it work by keeping an MVP mindset.Expect honest lessons, concrete insights, and maybe a few laughs at our own expense.

• Important to know
Everyone is invited to this event. So it's not a women-only event.

Artificial Intelligence
Machine Learning
Data Analytics
Data Engineering
Machine Learning In Cloud

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