Data Analyst based in Gurugram, India — turning messy business data into decisions that actually matter.

I don't just build dashboards. I answer why metrics move — and what to do about it.

• Transform raw transactional and behavioral data into clear business insights
• Build automated, KPI-driven dashboards that reduce manual reporting effort
• Segment customers to identify churn risk, retention patterns, and revenue drivers
• Connect data findings to real business decisions — pricing, retention, inventory

Power BI dashboard analyzing 1,000+ sales transactions across regions, categories, and segments.

• Identified top 10 products driving 60–70% of total revenue
• Exposed low-margin regions to guide pricing and discount strategy
• Reduced manual reporting effort by 50–70% through dashboard automation

Tools: SQL · Power BI · DAX · Excel

End-to-end churn analysis on 1,000+ customer records using Excel and Power BI.

• Segmented customers into low, medium, and high-risk churn cohorts
• Found short-tenure customers (1–2 years) churn at ~28% — the highest risk window
• Proposed actionable retention strategies by segment

Tools: Excel · Power BI · PivotTables

SQL + Power BI cohort analysis on 30,000+ customer transactions.

• Built month-over-month retention tables tracking customer lifecycle
• Identified Month 2–3 as the critical drop-off point for most cohorts
• Surfaced high-LTV cohorts to guide marketing budget allocation

Tools: SQL (MySQL) · Power BI .

• 🔍 Actively seeking Data Analyst Internships in startups
• 📚 Deepening Python for data analysis and advancing SQL skills
• 🏗️ Building toward AI development and product analytics

"I don't just report numbers. I find the story inside them."