Carlos Andre Reis Pinheiro
Principal Analytical Training Consultant, SAS
Dr. Carlos Pinheiro is a Principal Data Scientist at SAS 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 in multiple roles from technical to executive. He worked as a Senior Data Scientist for EMC in Brazil on network analytics, optimization, and text analytics projects, and as a Lead Data Scientist for Teradata on machine learning projects. Dr. Pinheiro has a BSc in Applied Mathematics and Computer Science, an MSc in Computing, and a DSc in Engineering from the Federal University of Rio de Janeiro.
Carlos has completed a series of postdoctoral research terms in different fields, including Dynamic Systems at IMPA, Brazil; Social Network Analysis at Dublin City University, Ireland; Transportation Systems at Université de Savoie, France; Dynamic Social Networks and Human Mobility at Katholieke Universiteit Leuven, Belgium; and Urban Mobility and Multi-modal Traffic at Fundação Getúlio Vargas, Brazil. He has published several papers in international journals and conferences, and he is author of Social Network Analysis in Telecommunications and Heuristics in Analytics: A Practical Perspective of What Influence Our Analytical World, both published by John Wiley Sons, Inc.
By This Author
Introduction to Statistical and Machine Learning Methods for Data Science
This book provides a comprehensive overview of the statistical and machine learning techniques associated with data science initiatives. You will learn the most important techniques and methods related to data science and when to apply them for different business problems.
"We've all heard the term "Data Science," but what does it mean? Obviously, it involves both data and science, but doesn't everything? Yes! But it's not as easy as it sounds. Luckily, the authors of this book have swept in to rescue us from this modern-day thought paradox by gently walking us through the maze of research, development, theory, and application that is the world of machine learning and data science. Geared to anyone interested in learning more about this intricate study, this book will help answer your most pressing questions, while opening up the doors of possibility to many more. A must-have for the desk of anyone even remotely involved in research!"
Deanna (DeDe) Naomi Schreiber-Gregory, MS
Co-owner, Operations and Finance
Independent Consultant - Statistics & Data Management
Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World
A practical guide to deploying mathematical and statistical models when performing analytics. Packed with case studies on the entire analytical process using telecom and insurance companies based in Brazil and Ireland, Heuristics in Analytics provides CFOs, chief marketing officers, directors of marketing, and business managers with an insider guide to deploying mathematical and statistical models when performing analytics.
Social Network Analysis in Telecommunications
By Carlos Andre Reis Pinheiro
Looks at social network analysis theory, employing basic statistics as a complementary way to analyze social networks. Case studies are presented demonstrating the capabilities of SAS in achieving business results. Provides the groundwork for what social network analysis is, as well as how your company can leverage it to its greatest advantage.
- A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
- Rebecca A. Ottesen first learned SAS as a student at California Polytechnic State University, San Luis Obispo, where she now teaches.
- Michael Patetta has been a statistical instructor for SAS since 1994. He teaches a variety of courses including Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio, Predictive Modeling Using Logistic Regression, Introduction to Data Science Statistical Methods, and Regression Methods Using SAS Viya.
- Dr. Carlos Pinheiro is a Principal Data Scientist at SAS 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 in multiple roles from technical to executive.