CV Summary

Diogo Morgado is currently an Invited Teaching Assistant at Iscte-IUL, where he teaches Analytical Methods Applied to Management, and is a PhD Candidate in Management at Iscte Business School (2024–2028), specializing in Quantitative Methods Applied to Management. Alongside his academic career, he has been working as a Data Analyst at FNAC DARTY since March 2024, focusing on data extraction, transformation, and statistical analysis to support the commercial and financial departments.

His academic path at Iscte also includes a Postgraduate Diploma in Advanced Management Studies (2024–2025), a Master's in Business Analytics (2021–2023) — whose thesis graduated with an "A" grade on the ECTS scale (Top 10%) and was pre-selected by the institution for the José da Silva Lopes Award (Bank of Portugal & Francisco Manuel dos Santos Foundation) — and a Bachelor's in Sociology (2018–2021), where he specialized in Data Analysis and Statistics and was awarded the Academic Merit Diploma for ranking in the Top 3% of his class.

Previously, he worked as a Data Analytics Research Consultant at the Business Research Unit (BRU-Iscte) and was a Teaching Assistant (Monitor) at Iscte-IUL's Department of Quantitative Methods for Management and Economics, supporting data analysis curricular units and co-teaching introductory business analytics classes. Among his distinctions, he was a global finalist in the SAS Curiosity Cup data science competition in 2024. He demonstrates strong proficiency in tools such as SAS Enterprise Guide, SQL, SPSS, Python, and Power BI, combining quantitative rigor with a passion for the practical application of analytical methods in business contexts.

Academic Qualifications
University/Institution Type Degree Period
ISCTE Business School
Portugal - Lisboa
Post-graduation Diploma de Estudos Avançados em Gestão 2024 - 2025
ISCTE-Instituto Universitario de Lisboa
Portugal - Lisboa
M.Sc. Business Analytics 2021 - 2023
ISCTE-Instituto Universitario de Lisboa
Portugal - Lisboa
Licenciate Sociologia 2018 - 2021
Research Interests
Market Segmentation
Churn
Profile Segmentation
Predictions
Market Studies
Customer Value
Customer Lifetime Value
Mathematics Natural Sciences
Computer and Information Sciences Natural Sciences
Economics and Business Social Sciences
Sociology Social Sciences