Humberto Brandão, Ph.D. (Kaggle Master)
Co-Founder of ImproveAndGo.com
Dr. Brandão has knowledge of Machine Learning, Combinatorial Optimization, Realistic Simulation and Market Micro-structure. He is also an expert in Data Science applied to financial problems, an area where he has won several prizes from different companies and challenges. Dr. Brandão has also been solving many industrial problems since 2009, after creating the Laboratory of Research and Development (LRD) at Universidade Federal de Alfenas (Brazil). Nowadays, he has been providing services to different companies around the world.
See more: http://humbertobrandao.com
Contact him: brandao@improveAndGo.com
Fernando Afonso, Ph.D.
Dr. Santos got his Ph.D in Computer Science from the Federal University of Minas Gerais (UFMG – Brazil) and was a Postdoctoral Fellow in the Combinatorics and Optimization department of the University of Waterloo (UW – Canada). Currently, he works as Software Engineer at an industry forensics company in Canada. His expertises are in Optimization (linear and non-linear), Quantitative methods and Machine Learning. He has studied models and algorithms in different fields, such as logistics, finances, forensics and industrial applications.
Everton Silva, M.Sc. and Ph.D. Candidate in Artificial Intelligence
Everton got his masters degree in Computer Science (focus on Artificial Intelligence for Financial Area) at the Universidade Federal de Minas Gerais (UFMG) in Brazil. Nowadays, he is a researcher and professor at Federal Institute of Education, Science and Technology of São Paulo. Everton has knowledge of Machine Learning, Stock Exchange and Algorithmic Trading Strategies. As a Data Scientist, he is really interested in applying his knowledge and skills to solve real world problems. He has been working on the development of algorithmic trading strategies for the Brazilian Stock Exchange (B3). Everton also participates in a research project in partnership with the National Centre for Monitoring and Early Warning of Natural Disasters (Cemaden) to creating a forecasting model for hydrological disasters.
Tiago Silveira, Ph.D. Candidate. M.Sc. in Computer Science
Silveira got his M.Sc. degree in Computer Science from the University of Campinas (UNICAMP) in Brazil, focusing on metaheuristics to packing problems. He works at the Federal University of Alfenas (UNIFAL-MG) as a Researcher/Analyst, and he is in touch with the most diverse areas of Computer Science, like Optimization, Operations Research, Computational Geometry and Algorithms fields. Currently, he is a Ph.D student at the University of Parma (UNIPR) in Italy, focusing on mathematical models to packing problems. He is also in a partnership with Modena and Reggio Emilia University (UNIMORE) in Italy, working on real-world optimization problems, such as pickup-and-delivery and scheduling.
Douglas Braz, Ph.D. Candiate in Machine Learning
Douglas got his M.Sc. degree in Computer Science in 2014 from the Federal University of Minas Gerais – Brazil. He is now a researcher at Federal Institute of Education, Science and Technology of South of Minas Gerais. He researches in areas of Computational Intelligence, Online Social Networks, Deep Learning and Financial Markets. He is specially interested in High-Frequency Trading and Algorithmic trading improvement techniques. Douglas was awarded Outstanding Student Prize in 2012, granted by the Brazilian Society of Computing. He has been working with machine learning and financial markets since 2010; Douglas was a finalist in Data Science Game 2017 – an international competition for students held in Paris, France. In 2018, he was a visiting researcher at University of Porto (Portugal). Douglas is also a PhD candidate in Computer Science and Computational Mathematics at the University of São Paulo (Brazil).
Financial engineering specialist, Control Engineer
Technical background in data science, control engineer by UniLins with best student prizes from UniLins, SENAG and CREA – engineering council), financial engineering specialist by USP (Universidade de São Paulo), databases skills (Quality Contributor Programme – Developers and Test Team, MySQL AB – 2006), taxes specialist, hardware, firmware and software development. Partner at SpaEmpresarial (Proprietary ERP company) and solution provider to brokers and algorithmic trading in Brazil.
M.Sc. Candidate in Computer Science (Machine Learning)
Technical background in data science for real world scenarios. Currently, he works with research in the area of machine learning algorithms for decision-making in cryptocurrency market using Market Micro-structure. Also, he works with recommender systems to target users with tailored offers for retail merchants.