As a highly skilled data scientist and data engineer with over 11 years of experience, I specialize in developing and deploying scalable data-driven solutions that empower businesses to make informed decisions. My technical expertise includes advanced data modeling and analysis, designing and implementing data pipelines, and working with big data technologies such as Hadoop, Spark, and AWS. I am also skilled in machine learning and statistical analysis, and have a proven track record of developing predictive models that deliver business insights. Throughout my career, I have been committed to staying up-to-date with the latest trends in data science and technology, and I enjoy collaborating with cross-functional teams to identify and address complex business challenges. As part of the MultiCloud specialization, I implemented Cloud projects based on real scenarios such as: - migration from on premises environment to AWS using services like EC2, S3 and RDS and GCP Kubernetes and MySQL Technologies of interest: AI & ML| Cloud | MultiCloud | DevOps | MLOPs | AWS | Microsoft Azure | Google Cloud | Terraform | TensorFlow | PyTorch | Snowflake