I am a data scientist working to bring insights into all types of data. With strong skills in mathematics, statistics and coding, specialist in machine learning engineering and passionate about puzzles, I build intelligent and scalable systems for large amounts of data. Working with deep learning for over four years.
Exponential Ventures is a American Startup that solve today's biggest problems with Exponential Technologies such as AI, HMI, Robotics, and Quantum computing. As a Data Scientist, I'm responsible for analyzing large amounts of data in complex environments, building machine learning models and helping to improve our Auto ML product.
CeIA is a scientific laboratory financed by private companies operating in several segments such as energy, retail, delivery, health, among others. I work part-time there as a machine learning engineer consultant, developing and researching natural language processing models.
Responsible for deep learning classes in the Big Data and Machine Learning postgraduate course.
Responsible for analyzing data, discovering patterns and proposing solutions to business problems in many different areas, creating custom reports for clients and automating processes for data prediction or classification. Development of AI algorithms (deep learning) for natural language processing (English and Pt-Br) and computer vision, acting from the creation until the deploy of the models.
Research on artificial intelligence techniques for person detection, pose estimation and activity classification on imagens. During this time, it was developed the work "A complete bottom-up approach to recognizing human activities in images through the estimated pose with convolutional networks"
Software development in C / C ++ and Matlab and PCB prototyping with ATMEGA microcontrollers.
Some of the projects I worked on and gave me experience on the following topics:
Adaptation and training of a deep learning model for a question answering system in Portuguese. Model based on Bert and Google QA Net. This system is applied in a Chatbot capable of answer questions based on unstructured texts
Training and classification of intentions present in certain phrases for Chatbots flow control
Development of a deep learning model for token classification and sequence tagging in portuguese textsCode:
Project developed for the Mercado Libre Data Challenge able to classify Portuguese and Spanish texts.Code:
Model development for natural language conversion into sql language, allowing users to perform database queries.
This work propose a single end-to-end model able to detect people, estimate their pose, and recognize each one of their activities by their pose. The experiments show that the model has reached the state of the art in the tasks of person detection and pose estimation on MSCOCO Dataset 2017, and can recognize walking, running, sitting, and standing activities with an F1 score of 0.7344Code:
Training and improvements of existing ocr models in portuguese
Classification and segmentation of different cloud types from satellite images. 22nd place solutionCode:
Development of deep learning models for identification of pulmonary diseases and intracranial hemorrhage in X-rays
Big data analysis for cross-checking information from Telefônica Brasil in order to find patterns in customers with internet peer disconnection issues
Data analysis and development of machine learning model to classify possible frauds in government advance database
Development of an artificial neural network to classify arm movements from the collected intramuscular signals. This feature is part of building a myoelectric prosthesis for people with amputated arms.Code: