Elena is the Managing Director of Dataconomy Media GmbH and the Founder & Head Curator of Data Natives, Europe’s largest data science conference. She has a multidisciplinary background with studies in Economics and Modern and Contemporary Art from British Universities. She has worked for established galleries and pioneering institutions and co-founded an Art Events Company (2012) and an Independent Art Publication (2014) before moving to work for Dataconomy. She is particularly committed to supporting women by helping them become established in tech professions.
In the spring of 2016, an enlightening work experience at a London-based Data Consultancy firm pushed me towards a big career leap: from Translating and Social Science Teaching to Data Science. Three years later and having worked as an analytics consultant at Accenture, I am the Senior Data Analytics Mentor at Ubiqum Berlin, happier than ever and still learning every day.
During this shift period, I completed an 800 hours bootcamp in Machine Learning & R-programming at Ubiqum Code Academy and graduated with honours in a postgraduate degree in Big Data & Data Science at University of Barcelona. Afterwards I spent five months at Accenture Management Consulting analysing data from an automotive brand: I learned the importance of using Data Mining to make better decisions and ultimately to add value to the business. I then got to Accenture Applied Intelligence, where I completed several projects for the Public Sector, dealing with messy datasets and building visualisations and ML models out of them.
My previous humanistic education does not only give me an unfair advantage at quiz nights, it also helps me look at the big picture, ask the right questions, find creative solutions to business challenges and communicate them in an engaging and understandable way.
After a long journey through PR, content marketing, community management and copy localization, Iva now works as a Data Analyst at Dalia Research where she relentlessly tidies up messy datasets, analyses survey responses and last but not least, builds boats.
Upon completing a Data Analytics and Machine Learning Bootcamp in 2018, she switched roles from student to assistant mentor. The experience and observations she gained as a mentor further fuelled her conviction that the field would benefit from a fairer entry for women.
You can find her on LinkedIn
Karo Hajduk is the founder of YellowDuck, a curated platform for people in tech that places learning and knowledge sharing at its core.
Working at the intersection of business and HR, Karo advises on the topics around career, leadership development, and organizational development in the future of work context.
Noa is a freelance data scientist and an analytics consultant. Previously she worked as Director of Data Science at Auto1 Group, Data Science Manager at Babbel, and as a Senior Data Scientist at King. Her background in physics, economics, design, and management has given her a strong foundation to answer interesting questions using data, analytical techniques, and visualization.
In addition, Noa is the co-organizer of R-Ladies and Women in Machine Learning and Data Science Berlin meetups, and of the satRday Berlin conferences. As a member of forwards, the R Foundation’s Taskforce on women and other under represented groups, she contributes to strengthening R’s community and making useR conferences welcoming and inclusive. She recently organized Berlin’s first Scikit-learn sprint for women and gender minorities.