With scientific research background in Computational Astrophysics, I currently develop Machine Learning products with a focus on customer value delivery and reliability. I works as a Data Scientist, in the logistics team, for the biggest brewery in the world and am enrolled in an MBA at the University of São Paulo. Experiences - In AWS: SageMaker, S3, Redshift, ECR, ECS, EC2, Lambda, API Gateway, CloudWatch, among others. In Python: Numpy, Pandas, Scipy, Scikit-learn, PyTorch, FastAPI, SQLAlchemy, TensorFlow, Keras, Matplotlib. Others: Linux, Docker, Git, CircleCI, BigQuery, SQL Server, Dbeaver, Hadoop. I also contribute with the community through free technical texts based on what I learn: https://danielmkeras.medium.com/deploying-on-aws-sagemaker-for-scheduled-batch-transform-f295e49251bc