Jax Rocha

Background

About Jax Rocha

Motivation: I’m passionate about transforming data into valuable insights for smarter decision-making. I thrive in collaborative environments where growth is achieved through mutual support. I feel truly fulfilled in my field and am committed to continuous learning and mastering the latest tools. Education: Data Science student at Universidade Federal do Mato Grosso do Sul (UFMS), with an undergraduate research project focused on exploratory data analysis and principal component analysis to understand weather variables' impact on traffic accidents. Active member of a Machine Learning study group at Mackenzie. Professional Experience- Data Engineering at Wunderman Thompson: Gained expertise with SQL, Python, Microsoft Integration Services, Google Tag Manager, Google Big Query, and SQL Server- Analytics Engineering at Safra: Developed automation for colleagues’ routines using Python and VBA- Data Analysis at Spcine: Conducted data analysis and visualization using SQL, Python and Power BI- Analytics Engineering at Shopee: Dedicated to data processing with Python and SQL- Data Analysis at WMcCann: Focused on Marketing Intelligence using Python, Power BI, Looker Studio, SQL, Excel/Google Sheets and Google Big Query- Data Engineering at WMcCann: Focused on ETL/ELT and Data Ops with Python, Pyspark, Databricks, SQL, Google Cloud Platform and AWS. Check out my current work on GitHub and Hugging Face: https://github.com/jaxrosil https://huggingface.co/jaxrosil