Career Profile

I hold a B.S. in Computer Science from the Federal University of Rio de Janeiro (2015), and a M.S. from the Graduate Program in Informatics at the same university (2017). My research was associated with Machine Learning in Nonstationary Environments, focused on Semi-Supervised and Online Learning. Currently, I am a Data Science Specialist at Winnin Inc, optimizing machine learning models, statistical models, and developing solutions that use LLM models.

I have a previous experience in marketing science working as Data Scientist at the Media Intelligence Center for Coca-Cola, also leading the Business Intelligence team for two years. I was a part-time lecturer at UFRJ, teaching Python Programming, Linear Algebra, Computational Intelligence, and Data Science.

Experiences

Data Tech Lead

2020 - Present
Winnin Inc, Rio de Janeiro

Tech Lead of Data Science chapter at Winnin Inc. Oversaw the integration of data technologies and best practices within the team. Collaborated with cross-functional teams to drive decision-making. I am also responsible for the development of data science solutions. Technologies: Python, FastAPI, SQL, PostgreSQL, Spark, Elasticsearch, Keras, Torch, AWS, Redis, Langchain.

Data Scientist Specialist

2018 - 2020
Coca-Cola, Rio de Janeiro

Data Scientist at the Media Intelligence Center for Coca-Cola. Led the Business Intelligence team for two years. Developed machine learning models to predict the behavior of consumers.

Lecturer

2016 - 2018
UFRJ, Rio de Janeiro

Part-time lecturer at UFRJ. Taught Python Programming, Linear Algebra, Computational Intelligence, and Data Science.

Publications

Some of the publications I have been involved with.

  • Weightless neural networks as memory segmented bloom filters (2020)
  • Leandro Santiago, Leticia Verona, Fabio Rangel, Fabrício Firmino, Daniel S. Menasché a, Wouter Caarls, Mauricio Breternitz Jr, Sandip Kundu, Priscila M.V. Lima, Felipe M.G. França
    Neurocomputing, 2020
  • Vector Field Based Neural Networks (2018)
  • Daniel Vieira, Fabio Rangel, Fabrício Firmino, and Joao Paixão
    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
  • Memory Efficient Weightless Neural Network using Bloom Filter
  • Leandro Santiago, Leticia Verona, Fabio Rangel, Fabrıcio Firmino, Daniel S Menasche, Wouter Caarls, Mauricio Breternitz Jr, Sandip Kundu, Priscila MV Lima, Felipe MG França
    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning