sla-analysis

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

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

Салон штор

Analyzing 100K SaaS helpdesk tickets to uncover why premium-tier customers have the highest SLA breach rates — SQL, Python (EDA + Random Forest breach-risk model), Power BI dashboard, and Excel reporting.

City-level SLA and operations bottleneck analysis using SQL

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.

Power BI customer support analytics dashboard focused on SLA compliance, ticket backlog, resolution performance, customer satisfaction, and data-quality validation.

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.

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.

Operational analytics project focused on workflow optimization, SLA analysis, and process efficiency improvement.

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

Strategic IT operations dashboard analyzing SLA breaches, incident trends, support team performance, and process improvement opportunities.

Excel-based analysis of 15-minute delivery SLA performance for Zepto & Instamart

Customer Support & SLA Analysis Dashboard built with Excel and Power Query to analyze ticket volume, SLA compliance, customer satisfaction, and support team performance.

Operations Analyst project analyzing customer support performance using Excel and Power BI. SLA compliance tracking, escalation analysis, and service desk process efficiency reporting.

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

Python data analysis project exploring SLA breaches, processing delays, workload patterns, and early-warning risk prediction using a mock regulatory applications dataset.

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

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