We're glad to invite everyone to the 2nd Nordic Women in Data Science Conference. This online event features technical talks from women technical practitioners from different Nordic countries, as well as a panel discussing the difference between working in academia and industry as a data scientist.
As usual, our event is organized by women data scientists and machine learning practitioners and features only women on stage. However, participants of all genders and backgrounds are more than welcome to attend! Presentations are intentionally fairly technical and aimed towards current or aspiring data scientists, data engineers, machine learning engineers, as well as other AI experts.
2nd Nordic WiDS Conference
Inspiring and supporting women in data science, ML and AI
18 January 15:00-18:00 CET
Invited Speakers
Filipa Peleja[Denmark] Lead Data Science Engineer at LEGO Group
Filipa Peleja is Lead Data Science Engineer at LEGO Group and, following her passion to pass along knowledge, in her spare time she’s a Lead Instructor at CodeOp and Neueda. She first stepped into the tech world as an undergrad in Computer Science and later Ph.D. in the Machine Learning domain. Her academic accomplishments were recognised with the 1st prize of an industry challenge and top tier publications such as SIGIR and ACL. Filipa interned at Yahoo! Research Labs, worked at Levi Strauss & Co. and in the telco industry, namely, Vodafone.
[Denmark] Data Science as a Service: The Next Frontier in Analytics Evolution
Organisations interest in adopting data as part of their strategy has been growing. It reached a point where its capability to support decision making while making sure they stay competitive has become undebatable. One well-known challenge in the adoption is linked to data literacy and use of data technologies as studies have reported that only ~21% feel confident regarding their data literacy skills (Qlik/Accenture 2019). In this talk it will be addressed how data science can assist businesses at integrating into their strategies by providing it as a service and what is the role of data science teams in this journey.
Qlik/Accenture (2019). “The Human Impact of Data Literacy”. In: Qlik/Accenture Report.
Karin Håkansson[Sweden] Data Mesh Governance, Founder at Trustic Consulting
Karin is a senior data leader with a burning interest in data mesh, especially focusing on data governance in data mesh. She is an active speaker in several podcasts on the topic and she was also selected one of Hyperight’s Nordic 100 list for Data, Analytics and AI.
[Sweden] The invisible governance
In this talk Karin will give a brief description of why and what data mesh and governance is first. She will then describe how data governance can work for data mesh. She will talk about system thinking and feedback loops and how that can be used to be ensure that data is secured and compliant without having to rely on bureaucratic processes and really building a data democratic environment.
Daniela Tomova[Norway] Data Architect and Chief Consultant at Atea Norge AS
Originally from Bulgaria, Daniela Tomova studied Management Information Systems in the USA and worked in London before emigrating to Norway. She has 18 years of experience with analytics, data engineering, and metadata systems. She lives in Oslo, Norway where she currently works as chief consultant, specializing in analytics strategy and cybersecurity
[Norway] The Shape of Data: How I Joined the Dork Side
Stories are the oldest and most powerful way of sharing data. They are the scaffolding that helps our brain make sense of the world and our place in it. And data itself, in the form we know it, has a story of its own: structure, timeline, context, history. Over the last 20 years, Daniela has learned the importance of understanding the data she works with so she can best use it to convey, convince, and clarify the answers people are looking for. In this presentation, she will share a bit of her journey and core methodologies and maybe draw some of you over to the data dork side.
Schedule
15:10
[Sweden] The invisible governance
In this talk Karin will give a brief description of why and what data mesh and governance is first. She will then describe how data governance can work for data mesh. She will talk about system thinking and feedback loops and how that can be used to be ensure that data is secured and compliant without having to rely on bureaucratic processes and really building a data democratic environment.
Karin Håkansson
[Sweden] Data Mesh Governance, Founder at Trustic Consulting
15:40
[Norway] The Shape of Data: How I Joined the Dork Side
Stories are the oldest and most powerful way of sharing data. They are the scaffolding that helps our brain make sense of the world and our place in it. And data itself, in the form we know it, has a story of its own: structure, timeline, context, history. Over the last 20 years, Daniela has learned the importance of understanding the data she works with so she can best use it to convey, convince, and clarify the answers people are looking for. In this presentation, she will share a bit of her journey and core methodologies and maybe draw some of you over to the data dork side.
Daniela Tomova
[Norway] Data Architect and Chief Consultant at Atea Norge AS
16:15
[Denmark] Data Science as a Service: The Next Frontier in Analytics Evolution
Organisations interest in adopting data as part of their strategy has been growing. It reached a point where its capability to support decision making while making sure they stay competitive has become undebatable. One well-known challenge in the adoption is linked to data literacy and use of data technologies as studies have reported that only ~21% feel confident regarding their data literacy skills (Qlik/Accenture 2019). In this talk it will be addressed how data science can assist businesses at integrating into their strategies by providing it as a service and what is the role of data science teams in this journey.
Qlik/Accenture (2019). “The Human Impact of Data Literacy”. In: Qlik/Accenture Report.
Filipa Peleja
[Denmark] Lead Data Science Engineer at LEGO Group
16:45
Career Panel: “Working in Academia vs Industry: what is the big difference?”
In this panel, we will discuss the differences between day to day work in academia and industry and compare the contrasting environments, challenges, and opportunities that professionals may encounter in the two realms.
In academia we often hear about the emphasis on research, teaching, and the pursuit of knowledge, but also the challenges of securing funding, navigating competitive academic landscapes, and the pressure to publish.
On the industry side, there is often a focus on practical applications of knowledge, collaboration within diverse teams, the importance of adaptability, problem-solving skills, but also the need to meet market demands.
We will dive into these and other interesting topics, with the aim of giving you a better understanding of the main differences in day to day work in academia and industry. We will also open up for questions from the audience!
Career Panel Speakers:
• Masoomeh Ghasemi, Data engineer at Accelerate at Iver
• Ece Calikus, Postdoctoral Researcher at KTH Royal Institute of Technology
• Fatemeh Rahimian, Senior Researcher at RISE Research Institutes of Sweden
Moderated by Anna Baecklund, Head of Data & Analytics Platforms at Handelsbanken
Anna Baecklund
Head of Data and Analytics Platforms at Handelsbanken
Ece Calikus
Postdoctoral Researcher at KTH Royal Institute of Technology
Masoomeh Ghasemi
Data engineer at Accelerate at Iver
Fatemeh Rahimian
Senior Researcher at RISE Research Institutes of Sweden
Career panel
Fatemeh RahimianSenior Researcher at RISE Research Institutes of Sweden
Fatemeh is a senior researcher at RISE Research Institutes of Sweden, specializing in data mining, graph theory, distributed algorithms, and resource-efficient machine learning. More recently, she has explored the practical application of these models and algorithms across various domains. Her background includes valuable experiences in the healthcare sector, collaborating with the Karolinska Institute, and serving as a machine learning scientist at the University of Oxford. She has also contributed her expertise to the telecom industry through collaboration with Ericsson and played a role in the banking sector as a machine learning scientist at Swedbank. Currently at RISE, Fatemeh actively collaborates with both academia and industry, dedicated to improving the quality on lives and society as a whole.
Masoomeh GhasemiData engineer at Accelerate at Iver
Masoomeh, who received her PhD in engineering physics from Lund University, leverages her expertise as a data engineer, specializing in designing and implementing cutting-edge data platforms.
Anna BaecklundHead of Data and Analytics Platforms at Handelsbanken
Anna is responsible for the design of analytics infrastructure to make data accessible across the company. This is done through platform development, product functionality and development, as well as developing and executing a central data strategy.
Organized by
Women in Data Science, AI & ML Sweden
@WiDS_Swedenwomen@wids.seWomen in Data Science, AI & ML Sweden is an independent non-profit organization whose goal is to inspire and support a strong community for women in Data Science, Machine Learning and AI in Sweden.
WiDS Sweden organizes technical events featuring women on stage, including WiDS Stockholm conference, in collaboration with Stanford University's global WiDS initiative. Our organization also drives a number of long-term projects.
We are growing the community, collaboration and ecosystem for women in data science, ML and AI in Sweden with a community of 1600+ women.
Check us out on Youtube at: https://bit.ly/3ehiKbS
