About
Data Analyst with 2+ years validating SQL-driven reporting and building Power BI dashboards, translating complex datasets into decision-ready insights. Cross-verified stakeholder-facing analytics using MySQL joins, aggregations, and subqueries, resolving 50+ data discrepancies with zero critical defects reaching production. Independently designed a full Power BI sales analytics dashboard — a 4-table star-schema model with custom DAX measures — surfacing $34M+ in revenue trends and an $11.7M regional performance gap. Skilled at turning raw, disparate data into clear, actionable business insight.
Experience1
Quality Engineer
Aug 2023 — Jul 2025Accenture
Wrote and executed complex SQL queries in MySQL to cross-verify Power BI dashboards against source data, safeguarding analytic accuracy. Investigated and resolved 50+ data discrepancies logged in Azure DevOps, preventing critical defects from reaching production. Partnered with developers and analysts to clarify data requirements and improve reporting quality. Designed and executed 200+ test cases across web releases and built a reusable data-validation case repository covering 100% of core modules, improving audit and onboarding processes.
Projects1
Power BI Sales Analytics Dashboard
Modeled a relational data architecture across 4 dimension tables spanning 6,100+ transaction records, structuring raw Excel data into a star schema for scalable Power BI reporting. Authored 5+ custom DAX measures converting raw sales figures into actionable KPIs, enabling real-time analysis of $34M+ revenue across 22 SKUs. Applied scatter-plot visualization and statistical outlier detection identifying a top-6 revenue product operating 43 points below the 60.3% portfolio-average margin. Built interactive dashboards with drill-through functionality across 6 regions and 4 sales teams, surfacing a regional sales variance of up to $11.7M.
- Power BI
- DAX
- Star Schema
- Excel
Education1
Bachelor of Commerce
2019 — 2023Loyola Academy Degree College, Hyderabad
Business Analytics