I'm a brazilian data scientist, graduated in electrical engineering and currently pursuing my master degree in the same field. I work professionaly
with python since 2018. I developing machine learning algorithms for image classification and segmentation for anomaly detection on certain types of grains. I also have experience time-series forecasting and natural language processing. I'm familiar with agile methodology, and I consider to have a good set of soft-skills to work in multi-cultural team. I try to constantly improve myself as a person and professional.
02/2018 - 09/2021
Development of deep learning algorithms for image classification and segmentation. These algorithms were used to identify problems in samples of certain types of grains and were integrated via a Flask API with embedded cameras that captured the images. I was responsible for the API deploy on premise, which allowed me to improve my knowledge related to DevOps and Systems Admin.
08/2018 - 05/2019
Implementation of machine learning algorithms for sequential data, to forecast sales values. During this short period I also had the opportunity to work with recommendation systems and churn analysis.
09/2021 - Until now
Research of novelty models for natural language processing regarding chat data. The goal is to improve and create insights about how the general sentiment of the interaction evolves during the messages. The models are integrated in a pipeline using GCP's DataProc, BigQuery, Cloud Storage and Cloud Functions.
1. End-to-end Machine Learning with TensorFlow on GCP.
2. Production Machine Learning Systems.
3. Image Understanding with TensorFlow on GCP.
4. Sequence Models for Time Series and Natural Language Processing.
5. Recommendation Systems with TensorFlow on GCP.
1. Neural Networks and Deep Learning.
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization.
3. Structuring Machine Learning Projects.
4. Convolutional Neural Networks.
5. Sequence Models.