At Wyreflow Technologies, I analyzed datasets of 20,000+ records using SQL and Excel to support data-driven decision-making. I improved data accuracy by 15% through data cleaning and transformation.
I designed and deployed interactive Power BI dashboards with KPI metrics, cutting manual reporting effort by 30%. I also applied statistical analysis and data modeling to validate data and present findings.
On my Zepto E-Commerce Inventory Analysis project, I created an SQL-based analysis pipeline and used queries to examine pricing, discounts, stock availability, and category performance.
I also developed a Python cleaning pipeline for 5,000+ employee records, reducing manual processing time by 40%. In an e-commerce sales project, I analyzed 10,000+ transactions and built a Power BI dashboard to track revenue categories and seasonal demand.
