Carlos Pinheiro
Distinguished Data Scientist

Dr. Carlos Pinheiro is a Distinguished Data Scientist at SAS, U.S., a Lecturer at SKEMA Business School, U.S., and a Visiting Professor at Data ScienceTech Institute, 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, is recipient of U.S. Patent, and author of the books Introduction to Statistical and Machine Learning Methods for Data Science (2021, SAS), Heuristics in Analytics: A Practical Perspective of What Influence Our Analytical World (2014, Wiley) and Social Network Analysis in Telecommunications (2011, Wiley).

Advanced Analytics | Analytics | Data Visualization
Carlos Pinheiro 2
Vehicle Routing Problem - A beer distribution example in Asheville

The Vehicle Routing Problem (VRP) algorithm aims to find optimal routes for one or multiple vehicles visiting a set of locations and delivering a specific amount of goods demanded by these locations. Problems related to the distribution of goods, normally between warehouses and customers or stores, are generally considered vehicle routing problems. For this article's example, let’s consider a real (and awesome) brewery that needs to deliver beer kegs to different bars and restaurants throughout multiple locations.

Advanced Analytics | Analytics | Artificial Intelligence | Data Visualization | Machine Learning
Carlos Pinheiro 4
Optimal tour of Brisbane based on a multi-modal transportation system

A few months ago, I published an article about network optimization and how to find an optimal tour when visiting multiple places of interest by using different types of transportation, like buses, trains, tram, metro, and even walking. For a real-world case, I decided to run these optimal tours in