CV Summary

Susana Ribeiro Fernandes holds a BSc in Computer Science and Business Management and a MSc in Integrated Decision Support Systems from ISCTE- University Institute of Lisbon (Magna cum Laude). She is a Ph.D candidate in Information Sciences and Technologies at ISCTE- University Institute of Lisbon. Her research interests are advanced analytics for finance and accounting, earnings management, european Union funds, data quality and information systems.

She is a research assistant at ISTAR-Information Sciences, Technologies and Architecture Research Center. She is involved in scientific projects that are related with machine learning applications to improve the management of european union funds, with emphasis on “IA-Incentivos – artificial intelligence in incentive management” and “MAIPRO – project non-compliance monitoring and alert”. She also gave lectures on data analytics for both bachelor ‘s and master’s students. 

She joined the Tax and Customs Authority (AT) in January of 2015, as a Tax and Customs Auditor, with the role of senior data scientist. She has conducted several studies to prevent tax evasion, segmentation and compliance of taxpayers. Using advanced analytics to detect fraud and non-compliance risk was the broad focus of the work. In addition, she worked for 20 years at IAPMEI, a public institute that promotes competitiveness and business growth and is responsible for attributing and verifying financial incentives from the european union funds to portuguese small medium enterprises (SMEs). 

 

Academic Qualifications
University/Institution Type Degree Period
ISCTE - University Institute of Lisbon
Portugal - Lisbon
M.Sc. Integrated Systems for Decision Support 2012
ISCTE - University Institute of Lisbon
Portugal - Lisbon
Post-graduation Business Intelligence 2011
ISCTE - University Institute of Lisbon
Portugal - Lisbon
Licenciate Computer Science and Management 2010
Mathematics Natural Sciences
Computer and Information Sciences Natural Sciences
Other Engineering and Technology Sciences Engineering and Technology
Economics and Business Social Sciences