Data analyst with hands-on experience in SQL, Python, Excel, and Power BI. I analyze datasets, build dashboards, and translate insights into business decisions.
Analyzed 30K+ customer service records to identify CSAT drivers, SLA impact, and sentiment trends. Found billing issues contributing 72% of queries and key operational bottlenecks.
View on GitHub βUsed SQL (CTEs, LAG, LEAD) to analyze sales trends and customer behavior. Identified 76.9% transactions via credit cards and key segmentation insights.
View on GitHub βProcessed 50K+ listings using Python and Tableau to analyze pricing trends, fuel types, and seller segmentation; identified higher pricing for automatic cars.
View on GitHub βBuilt an end-to-end analytics pipeline on 50K+ records using Python. Identified Electronics as top revenue driver (~βΉ3Cr+) and key high-performing states.
View on GitHub β