Bruno B.Data Scientist
Skills
A graduate in Computer Science from UNESP, with a year of experience as a FAPESP scholarship holder in a scientific initiation project in Operational Research, possesses extensive knowledge in data science, specifically utilizing Python and its libraries geared towards Machine Learning and Data Science.
Data Scientist
5/2/2020 - Present
Researched and developed various Machine Learning models, including neural networks (deep, recurrent, and convolutional), BERT, Electra, MlKNN, and LabelPowerSet to tackle multi-label classification problems in texts. Created methods for feature extraction specifically designed for named entity extraction problems and developed suitable models for the task. Developed pipelines for cleaning and processing new samples, utilizing cascading models and parallel processing techniques. Deployed trained models through APIs using FastAPI and Docker to facilitate their consumption.Data Scientist
2/2/2019 - 5/2/2020
Specialized in Natural Language Processing, focusing on Named Entity Extraction and Classification. Developed solid expertise in modeling and predictive analysis utilizing classic machine learning models. Conducted comprehensive exploratory data analysis to derive actionable insights. Engaged in in-depth analysis and architectural development within various machine learning and artificial intelligence frameworks, showcasing a robust understanding of technological and theoretical concepts in these domains.
Computer Science at São Paulo State University (UNESP)
2016 - 2019Computational Intelligence at São Paulo State University (UNESP)
2020 - 2022
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