Author

Carlos Pinheiro
RSS
Principal Data Scientist

Dr. Carlos Pinheiro is a Principal Data Scientist at SAS in U.S. and a Visiting Professor at Data ScienceTech Institute in France. He has been working in analytics since 1996 for some of the largest telecommunications providers in Brazil. He worked as a Senior Data Scientist for EMC in network analytics, optimization and text analytics projects in Brazil, and as a Lead Data Scientist for Teradata in machine learning projects in South America. Dr. Pinheiro has examined business problems in a wide range of departments, including IT/Engineering, Marketing, CRM, Sales, Fraud and Finance. Dr. Pinheiro has a B.Sc. in Applied Mathematics and Computer Science, a M.Sc. in Computing and holds a D.Sc. in Engineering from Federal University of Rio de Janeiro (2005). He has accomplished a series of Post-Doctoral research terms in different fields, such as in Optimization at IMPA, Brazil (2006-2007), in Social Network Analysis at Dublin City University, Ireland (2008-2009), in Transportation Systems at Université de Savoie, France (2012), in Urban Mobility and Dynamic Social Networks at Katholieke Universiteit Leuven, Belgium (2013-2014) and in Urban Mobility and Multi-modal Traffic at Fundação Getúlio Vargas, Brazil (2014-1015). He has published several papers in international journals and conferences and he is author of the books Social Network Analysis in Telecommunications (2011) and Heuristics in Analytics: A Practical Perspective of What Influence Our Analytical World (2014), both published by John Wiley Sons Inc.

Advanced Analytics | Analytics | Artificial Intelligence | Data for Good | Data Visualization | Machine Learning
Carlos Pinheiro 1
Mobility tracing: Helping local authorities in the fight against COVID-19

The current state of policy enforcement during an infectious disease pandemic is mostly reactive. Public health officials track changes in active cases, identify hot-spots and enforce containment policies primarily based on geographic proximity. By combining telecommunications data -- which we turn into mobility information -- with public health data of