End-to-end analytics suite for Blinkit, Swiggy, and JioMart — 100k+ orders analyzed to forecast demand, optimize SLAs, and reduce churn (+37% growth impact)

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City-level SLA and operations bottleneck analysis using SQL

End-to-end Power BI report analyzing 8,469 IT helpdesk tickets — SLA compliance, resolution trends, CSAT analysis, DAX measures, star schema, drill-through navigation. Built from scratch.

Interactive dashboard uncovering ticket trends, SLA performance and backlog risks in customer support operations using Tableau and Excel.

Interactive Power BI dashboard analyzing analyst performance, SLA compliance, ticket resolution efficiency, and workload distribution to support data-driven operational decisions.

End-to-end MIS reporting: Python cleaning + Power BI dashboard for customer support SLA analytics

An Excel-based call center analytics project focused on evaluating inbound call trends, customer sentiment, SLA performance, and operational efficiency across multiple support channels and call center locations. The dashboard provides actionable insights to support service optimization, staffing decisions, and customer experience improvement.

End-to-end IT Helpdesk Analytics Dashboard — SQL Server, Power BI, Python | SLA breach analysis, agent performance, peak load heatmap

End-to-end data analysis project on IT incident data using SQL, Python, and Power Bi for visualization. Includes data cleaning, feature engineering, root cause and team mapping, and SLA analysis to generate actionable insights on incident trends and system performance.

SQL-driven SLA breach analysis across 100K+ fulfilment orders. Identifies that 62% of late deliveries trace to 2 carrier routes during peak periods. Includes DuckDB SQL analysis, 7 visualisations, and Tableau-ready dashboard exports.

Technical Support SLA Analysis Data Pipeline is a data pipeline project designed to analyze SLA compliance for technical support tickets. This project leverages SQL, Python, Kibana, and Tableau to process, visualize, and monitor ticket performance metrics efficiently.

Excel-based operations dashboard to analyze city-wise order volume and SLA performance