Max User

I am a Data Quality Analyst with an engineering background and a strong foundation in analytical methods, statistics, and process improvement. I specialize in ensuring data reliability through validation, monitoring, and automated testing.

At SAMET I developed and maintained Python automation for test logic and executed functional tests to validate system behavior, improving data accuracy and supporting defect resolution. Previously, I supported production analytics and continuous improvement at Gerdau, producing dashboards and statistical monitoring to surface operational inefficiencies.

My early experience includes pricing and commercial analysis at Parker Hannifin and quantitative academic research at LACER/UFRGS, which strengthened my skills in structured analysis, statistical methods, and technical documentation. I leverage tools like SQL, Python, Excel, and Power BI to deliver actionable insights to both technical and non-technical stakeholders.

I am driven by process improvement and dependable data delivery, and I collaborate closely with development teams using Jira and Confluence to embed data quality into workflows while communicating results clearly to support data-driven decisions.