Elizabeth Fernandes has developed her career in Data Science and Machine Learning after finishing the Applied Mathematics degree in 2005. Since then, Elizabeth has been working in companies and teaching at the Polytechnic University.
Currently, Elizabeth is Guest Adjunct Professor on a 20% part-time basis at the Polytechnic of Viana do Castelo (IPVC) where she teaches Data Analysis and Mathematics in the Logistics and Marketing degrees.
Since 2017, Elizabeth has split her time between the following areas of work:
- scientific research and Phd studies where she developed a Data Science framework to increase customer loyalty and conversion rates in an online business.
- teaching at IPVC data analysis and artificial intelligence courses.
- mentoring data projects, for example, the “Audience Analytics Accelerator LATAM program” of the International News Media Association within the scope of the Facebook Journalism Project, where she worked with newspapers in Brazil to apply artificial intelligence for retention and churn modeling.
- continuous learning, for example, by obtaining the Certification in Data Strategy and Data Governance from the Instituto de Empresa in Madrid.
Elizabeth worked at Jornal Público (2017-2022) as Head of Analytics and Audience Insights. From September 2022 to May 2025, Elizabeth was responsible for creating the Reporting & Analytics team at Kantar Business Services. Currently, Elizabeth collaborates on the development and implementation of Data Strategies where she applies a methodology for which she is certified by the business school Instituto de Empresa (IE) of Madrid.
Research Interests:
- Application of Data Science and Machine Learning in open data and companies data for Decision Support and Value generation in organizations.
- Development of Data Strategies and Data Governance frameworks implementation to empower Value-Driven culture in organizations. Leverage AI taking into account People, Processes, Technology , and Culture.
Application domains: Media and Publishers, Marketing, Hospitality, Industry, and Retail.
Elizabeth's academic background includes a B.Sc. in Applied Mathematics (Faculty of Sciences, university of Porto), a M.Sc. in Data Analysis and Decision Support Systems (Faculty of Economics, University of Porto), and a Ph.D. in Information Science and Technology (ISCTE-IUL).
Português