Nandaja User

I’m a Data Analyst who turns FMCG and retail datasets into actionable trends, patterns, and insights for decision-makers. I build and maintain interactive Power BI dashboards and reports that make executive KPIs more visible and improve reporting efficiency.

In my current role, I write and optimize complex SQL queries and use Python for data cleaning, automation, and analysis—accelerating data retrieval by 25% for downstream business analytics teams. I also resolve client- and stakeholder-reported data issues through structured ticket management, performing root-cause analysis that reduced recurring inconsistencies by 60% and kept data accuracy at 98%+.

I’m equally comfortable with end-to-end data workflows, building ingestion pipelines with ADF, Databricks, and PySpark to ensure data integrity and quality while reducing manual reporting effort by 30%. I enjoy collaborating across internal teams and clients, communicating findings clearly to non-technical audiences, and continuously improving data reliability; I’ve also built projects like an end-to-end Medallion ETL pipeline and a ~90% accuracy fraud detection model with dashboard monitoring.