Pedro Albuquerque

Pedro Henrique Albuquerque is an accomplished professional with a rich educational background and extensive experience in fields related to Statistics, Econometrics, and Machine Learning.

He holds a Bachelor's degree in Statistics from the University of Brasília, a Master's degree in Statistics and Probability from the Universidade Federal de Minas Gerais, and a Ph.D. in Business Administration with a focus on Financial Econometrics from the University of Brasília.

Pedro has held various significant roles throughout his career, including serving as a Tenured Associate Professor at the University of Brasília and working as a Senior Economist at Convoy Inc., where he specializes in applying Machine Learning, Econometrics, and Time Series analysis to develop innovative solutions.

His expertise spans across multiple areas such as Probability and Statistics, Sampling, Spatial Statistics, Causal Models, Natural Language Processing, and both Applied and Theoretical Machine Learning models and methods.

With specialties in Econometrics, Advanced Statistics and Probability, Financial Models, Financial Econometrics, Machine Learning Theory and Algorithms, Time Series, and Forecasting, Pedro has made noteworthy contributions to the field of Data Science and Business Analytics.

Pedro's career has also seen him involved with various prestigious organizations, including serving as an Adjunct Professor at Bellevue College, a Principal Research Scientist at LAMFO - Machine Learning Laboratory in Finance and Organizations, and engagements with renowned institutions like ServiceNow, Element AI, and the Inter-American Development Bank.

He has also carried out postdoctoral research roles at esteemed institutions like the University of Florida and the Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP), showcasing his commitment to research and academia.

Pedro's professional journey has also included roles as a Senior Consultant at Conselho Administrativo de Defesa Econômica and the Institute of Applied Economic Research (Ipea), underlining his versatility and expertise in consulting and research domains.

He has a strong foundation in Computer Software Development, having prior experience with Dataquant, further showcasing his diverse skill set and adaptability.

Pedro Henrique Albuquerque's unique blend of academic qualifications, extensive experience, and diverse skill set positions him as a respected authority in the fields of Statistics, Econometrics, and Machine Learning, making him a valuable asset in the realm of Data Science and Business Intelligence.