Please join us virtually for a Women in Unified Data Analytics panel discussion at Data + AI Summit Europe and hear from female leaders from Quby, Bouygues Construction, and Illimity Bank.
Come hear how these leaders in data and AI see the role of data professionals in educating the general public around the risks of AI, demystifying data science, and addressing racism and prejudice in AI.
This event is for Data + AI Summit attendees only, but Summit general admission is free. Sign up today to reserve your spot!
Machine Learning Engineer, Quby
Ellissa Verseput is a machine learning engineer at Quby, a leading company offering data-driven home services technology. In this role, she is responsible for developing end-to-end data-driven services to enable commodity suppliers, such as utilities and insurance companies, to play a dominant role in the home services domain. Thanks to her previous experience in software and data engineering, she enjoys robust productionizing and building bridges between data science and her colleagues from other disciplines at Quby. Ellissa has a master’s degree in econometrics and operations research and has been working in the IT and data science field since 2016.
Data Scientist, Bouygues Construction
Estelle Lorant is a data scientist with the innovation team Tunnel Lab from Bouygues Travaux Publics. Prior to Bouygues Travaux Publics, she was a data scientist at Olcya, a consulting company specialized in big data infrastructure. She has also worked as a data analyst on meteorological data satellites at the Institut Pierre Simon Laplace for the Centre National de la Recherche Scientifique (CNRS). She holds a master’s in satellite remote sensing applied to environment and a bachelor’s in physics from Pierre and Marie Curie University now known as Sorbonne University.
Data Engineer, Illimity Bank
Andrea Gojakovic is a Data Engineer at illimity bank, a cloud-native new paradigm bank, based in Milan, Italy. Her role requires the design, development and maintenance of data pipelines as well as supporting business stakeholders in all their data-related needs. She has been working as a data professional in the financial services industry since 2017. She holds an MSc degree in Electrical Engineering from University of Belgrade as well as an MSc in Biomedical Engineering from Politecnico of Milano.
Solutions Architect, Databricks
Marijse is a solutions architect at Databricks where she helps customers develop big data solutions, enables them to work with Spark and Databricks, and sees them through the implementation of production systems. Prior to working for Databricks, she worked as a data scientist at Capgemini where she was involved with customers in various industries, including fashion, sports and finance. She has also worked as a carbon and compliance analyst at Engie. She holds a master’s degree in carbon finance from the University of Edinburgh Business School and a bachelor of science degree from University College Roosevelt, part of Utrecht University.
Director of EMEA Value Acceleration, Databricks
Christopher joined Databricks in April 2020 to build the EMEA Value Acceleration team and help our customers understand the real quantifiable value that their data and AI projects are delivering to their business. Christopher’s background is with SaaS and marketing agencies specifically focused on driving operational efficiencies across the retail, luxury and manufacturing sectors.