Livin Shaji

At Ernst and Young, I supported live audits for the Netherlands region by validating and reconciling client data, building reusable Alteryx workflows, and delivering audit-ready analyses and management reports.

I've established automated validation checks across weekly feeds to reduce data quality defects and improve audit-ready accuracy. I work with SQL, Microsoft Power BI, MS Excel, and Alteryx to turn raw inputs into clear stakeholder-ready outputs.

Previously at Luminar Technolab, I applied Python, Hadoop, and Spark to large datasets, built preprocessing pipelines, and used EDA and visualization to guide stakeholder decisions. My projects include a Power BI sales and risk dashboard and a machine learning model for medical insurance cost prediction.