Pedro T.

Pedro T. has a diverse work experience in the field of data science and machine learning. Pedro is currently working as a Staff Machine Learning Scientist at Intercom, where they focus on NLP, chatbots, and real-time models. Prior to that, they were a Data Science Manager at Wildlife Studios, managing a team of senior data scientists and working on marketing attribution and lifetime value projects. Pedro was also responsible for mentoring new hires.

Pedro has also worked as a Research Engineer at Accenture, where they conducted software engineering for AI research, including knowledge graph embeddings, counterfactual explanations, and Bayesian deep learning. Pedro served as a Senior Data Scientist at Nubank Brasil, where they developed risk and severity models and deployed them to make significant impacts on the business. At iFood, they worked as a Senior Data Scientist, focusing on predictive modeling for antifraud systems.

In addition, Pedro has experience in research and development roles. Pedro was a part-time Researcher at Motorola Mobility, where they applied predictive modeling for smartphone bug detection and classification. Pedro also worked as a Director of Research at Datart, where they developed the Call.AI web application for speech analytics and conducted data science consulting work. Prior to that, they served as a Research and Development Engineer at I.Systems S.A., working on advanced process control software and C++ development.

Pedro's early work experience includes an internship at Czech Technical University in Prague and a teaching assistant role at Unicamp - Universidade Estadual de Campinas, where they assisted with introductory computer science classes. Throughout their career, Pedro has utilized various tools and technologies such as Python, XGBoost, LightGBM, scikit-learn, Spark, and PySpark. Pedro has also published a research paper at ICLR 2020 on probability calibration for knowledge graph embedding models.

Pedro T. began their education in 2008 at the Universidade Estadual de Campinas, where they studied Computer Engineering until 2013. In 2010, they briefly attended Bishop's University and obtained a Bachelor's degree in Computer Science. Pedro continued their academic journey and pursued a Master of Science (M.Sc.) in Electrical Engineering at the Universidade Estadual de Campinas from 2015 to 2017.

In addition to their formal education, Pedro also obtained various certifications. In 2014, they received a certification in Six Sigma - Green Belt from EDTI - Analise de Dados e Melhoria Organizacional. Pedro further expanded their knowledge by attending several courses and programs. Pedro participated in the Machine Learning Summer School at The University of Texas at Austin in 2015 and the Deep Learning Summer School at Université de Montréal in 2016. Pedro also completed online courses such as "Functional Programming Principles in Scala," "Functional Program Design in Scala," "Introduction to Probability and Data with R," "Inferential Statistics," "Introduction to Machine Learning in Production," and "Machine Learning Data Lifecycle in Production," all on Coursera. The obtained dates for these certifications range from 2014 to 2021.

Based on the provided information, Pedro T. is an individual with a strong background in computer engineering and electrical engineering. Pedro has actively pursued additional certifications and courses to deepen their knowledge and skills in fields such as machine learning, functional programming, and statistical analysis.