Hey folks! I've always been passionate about the technology field, and nowadays, my main focus is the world of programming within the Data area. I consider myself a resilient, proactive person who always enjoys learning something new and strives to stay up-to-date with the latest technology trends, delivering my best in everything I commit to.

Currently, I work as a data analyst and engineer, focusing on building and optimizing pipelines (ETL and ELT), data modeling, transformation, and governance with a focus on quality, consistency, and security, as well as creating interactive dashboards, translating complex data into clear business insights. I primarily use Google tools and services such as BigQuery, Looker Platform and Looker Studio (including the pro version), Dataform, Dataflow, Cloud Run, Golang, etc. I also have knowledge of Docker, JavaScript, Python, and other tools. I am also seeking opportunities to work in the field of data science, where I have knowledge of ML and LLMs.

• Newsletter: a project that uses Go for web scraping, and Python for content summarization and customization using LLM, in addition to sending emails.
• audio_source_separation: a project focused on separating instruments and vocals from a song. The project uses TensorFlow for best practices in data preprocessing, and PyTorch with the Unet (CNN) model for training and inference.