About
Checkout an overview of my coding in CodersRank, GitHub, Kaggle.
Machine Learning Engineer & Team Leader
What do I do? I use data to solve problems. I currently work as a Machine Learning Engineer developing Artificial Intelligence solutions to solve complex problems and improve customer experience. I also experienced work as a Data Scientist and Data Analyst. In addition to my core role, I wear a Team Leader hat, guiding and inspiring fellow professionals.
Besides, I am passionate about teaching. I worked as an Adjunct Professor during my Master's degree. Currently, I am acting as a Master of Business Administration (MBA) Tutor and Professor, in Data Science and Artificial Intelligence courses (graduate courses).
Finally, I am always studying new artificial intelligence techniques, because "the joy of thinking and learning makes us think and learn even more." (Aristóteles).
Education
PhD Candidate
2022 - Present
University of Sao Paulo (ICMC/USP), Brazil
Research topics: Data Mining, Artificial Intelligence, Data Warehouse, Big Data.
Master of Sciences
2017 - 2020
University of Sao Paulo (ICMC/USP), Brazil
Research topics: Data Mining, Artificial Intelligence, Social Network, Time Series.
Bachelor of Computer Science
2013 - 2017
Federal University of Mato Grosso do Sul (CPPP/UFMS), Brazil
Research topics: Data Mining, Artificial Intelligence, Data Stream.
Professional Experience
Consultant Team Leader @ Amaris
Mar 2023 - Present
Machine Learning, Data Science, Research & Development
- Machine Learning Engineering, MLOps.
- Create data-related products and projects.
- Productize cutting-edge research and technology.
Machine Learning Engineer @ Sinch
Nov 2020 - Feb 2023
Data Science, Research, and Development
- Create proof-of-concepts to explain ideas and develop new products.
- Experiment and evaluate machine learning models in the cloud.
- Productize cutting-edge research and technology.
Data Science Tutor @ USP
Sep 2020 - Present
Tutor, MBA of Data Science
- Tasks: Online class, homework, content preparation.
- About: Python, data analysis, artificial intelligence.
- Identity Document Recognition - Understanding the Basics of Image Classification. Published on Oct 10, 2023.
- Efficiently Setting up VS Code for Data Science Development on Windows with WSL. Published on Jul 3, 2023.
- Comparing AutoML Tools in Titanic Dataset - Machine Learning. Published on Dec 5, 2022.
- Multi-Emotion Detection in Brazilian Tweets. Published on Aug 5, 2022.
- Automatic Question Answering - Document Retriever (Machine Learning). Published on Jun 7, 2022.
- Simple Anomaly Detection algorithms for Streaming Data - Machine Learning. Published on Jan 12, 2022.
- A high-accuracy framework for binary text classification - Machine Learning. Published on Jul 1, 2021.
- Searching for Similar Songs on Spotify - Data Science. Published on Jan 12, 2021.
Research
Bibliography: ORCID, Google Scholar, dblp.
- Pedro Calciolari Jardim, Leonardo Mauro Pereira Moraes, and Cristina Dutra Aguiar. QASports: A Question Answering Dataset about Sports. In Proceedings of the Brazilian Symposium on Databases: Dataset Showcase Workshop, pages 1-12, Belo Horizonte, Minas Gerais, Brazil, 2023.
- Leonardo Mauro Pereira Moraes, Pedro Calciolari Jardim, and Cristina Dutra Aguiar. Design Principles and a Software Reference Architecture for Big Data Question Answering Systems. In Proceedings of the 25th International Conference on Enterprise Information Systems, pages 57-67, Prague, Czech Republic, 2023.
- Leonardo Mauro Pereira Moraes and Robson Leonardo Ferreira Cordeiro. SMMnet: A Social Network of Games Dataset. In Proceedings of the Brazilian Symposium on Databases: Dataset Showcase Workshop, pages 429-439, Uberlândia, Brazil, 2019.
- Leonardo Mauro Pereira Moraes and Robson Leonardo Ferreira Cordeiro. Detecting influencers in very large social networks of games. In Proceedings of the 21st International Conference on Enterprise Information Systems, pages 93-103, Crete, Greece, 2019.