Agnieszka Kamińska
Agnieszka is Data Scientist with former research experience in Cognitive Neuroscience. By creating Polish WiMLDS chapter Agnieszka wanted to encourage others, especially women and other underrepresented groups to actively contribute to ML/DS local community. She is a big fan of open science initiatives and interdisciplinary collaboration.
Zuzanna Kunik
Zuzanna is a Senior Machine Learning Engineer currently employed at Text. In her role, she co-creates effective and scalable solutions capable of training and serving thousands of NLP models on a 24/7 basis. This groundbreaking initiative has significantly enhanced the efficiency of Text’s customers’ work. Additionally, by volunteering in the Polish WiMLDS chapters, she aims to build a community centered around cooperation, support, and knowledge sharing.
Barbara Sobkowiak
She has been involved in data analysis, machine learning and AI for over eleven years. She skillfully combines technical knowledge with business vision, ensuring that each project is executed according to good practices and that the machine learning model accurately reflects the real needs and expectations of the users. The specialist, who helps implement solutions from the business side as well. She has experience managing a data science team and delivering ML end-to-end projects on both on-premise and cloud platforms. She specializes in explaining the intricacies of algorithms in a way that anyone can understand, regardless of technical knowledge.
Martyna Urbanek-Trzeciak
Martyna Urbanek-Trzeciak is a Data Strategist in Fandom and researcher in Institute of Bioorganic Chemistry. At Fandom, she works closely with Data Engineering, Data Science and Product teams to support data-driven decision making. She graduated from Adam Mickiewicz University (Computer Science) and Poznan University of Medical Sciences (Medical Biotechnology). She holds a PhD (biochemistry) from Polish Academy of Sciences. She is a dataholic always trying to learn new things from statistics through AI to productization of data or share her knowledge with others. She is also a big fan of open-source.
Julia
Julia is a Machine Learning Engineer driven by a passion for transforming AI models into impactful real-world solutions. She thrives in the ever-evolving world of scaling AI, constantly seeking opportunities to make a meaningful difference. With a background in data science and cybersecurity, Julia has a knack for tackling complex problems. She is also proud of her academic work on generating music with artificial intelligence, an interdisciplinary research crossing the boundaries of art and tech. By joining the WiMLDS organization, Julia aims to foster a world where diverse individuals, regardless of gender or background, can contribute their unique talents, recognizing that this diversity is essential for successful innovation in technology.
