How to get into and around data science

R-Ladies Amsterdam
R-Ladies Amsterdam
Public group
Location image of event venue


Ready to meet amazing women and learn from their experience with a glass of Heineken? As part of the Dutch Data Science Week, we are bringing you a special R-Ladies edition! We are having a panel discussion on finding your way into Data Science. Moving into or making a career change into a new and fast changing field like data science comes with great uncertainty and endless questions. Come join us, as we bring together a panel of professionals with diverse backgrounds to discuss what it takes to succeed in Data Science. We'll explore their experience, trainings, their typical day, and problems that they are facing and solving day in day out.

17.00- 17.30 Welcome
17.30 - 17.45 Intro Rladies & Heineken
17.45 - 19.15 Panel discussion & Breakout sessions
19.15 - 20.00 Socializing

This meetup is not only for the beginners in Data Science and Data Engineering, but also for more advanced members, who already work in the fields for some time. You will get a first-hand experience in how other women handle challenges in their daily work, how they communicate, and how they build the working process. After the panel discussion (~45 min), we will move to smaller groups, where you will have the chance to discuss and learn from someone nearby and envision your professional life from a new perspective. We are excited to have such an amazing bunch of people on board:

Laury van Bedaf
Laury is a data scientist at Accenture, where last fiscal year she was awarded the young talent award for her work and personal growth. As a data scientist she is creating and finding solutions for different clients by applying machine learning techniques. She is a great fan of open source software and the communities build around it, with her favorite being R. She has a strong social engagement and this can been seen in her focus on the health and public services industries. Ideally she would like to combine her education in neuroscience and her work experience in data science to gain insight in patient treatment and diagnostics.

Min Fang
Min’s formal background is in Computer Science and Natural Language Processing and when she joined trivago 3.5 years ago she started her data science career with a focus on NLP problems. About a year ago she became a team lead and is now leading a team of data scientists and a product manager distributed in two office locations. In her spare time she likes to go rock climbing and eat brunch.

Christina Stamm
Christina Stamm is a medical data scientist at Pacmed. Christina holds a master’s degree in Mathematics from Technical University of Munich. She joined Pacmed in 2019 to develop and interpret state of the art machine learning models to help patients receive more personal and precise care. The past four years Christina has been working as a big data analyst at Audi Business Innovation, where she developed big data analytics solutions for Audi’s sales and production department.

Nynke ter Heide
I am Nynke ter Heide, I’m 38 years old. I live in a small town in the southern part of the Netherlands with my husband and our two kids.
I earned a Master’s degree in Civil Engineering from the Delft University of Technology and worked for 12 years in the construction industry in engineering roles. In 2017 I founded my own company Vidabo and started working as an independent data scientist. What I love about this role is that I can combine technical challenges, creativity and collaboration with people in a wide variety of roles.

Camille Denning
Camille is an organizer of Dutch Data Science Week and runs strategic brand marketing for GoDataDriven. An American, Filipina, Australian whose Dutch is atrocious, she is also the author of the children's book, 'Dogs & Data Science.'

A good mood and enthusiasms to listen to others.

We expect all attendees to abide by our Code of Conduct.