Sunita Das

Results-driven Data Analyst with 3.4+ years at Cognizant, skilled in SQL, Python, and Power BI to transform data into actionable insights.

Data Analyst (Programmer Analyst – Data & Analytics) - Cognizant Technology Solutions

(2022-12)

• Spearheaded incident management and root cause analysis for a Fortune 500 tourism & hospitality client using ServiceNow, resolving 85+ incidents monthly and reducing repeat failures by 18.77%, contributing to ~$42K cost avoidance through stabilization.
• Led high-priority incidents (P1/P2) war-room calls, bringing 7–10 cross-functional stakeholders under a unified response framework, accelerating resolution time by 18.53% and reducing revenue leakage during critical outages.
• Engineered analytical frameworks using Python and SQL (correlation matrices, trend analysis) to identify recurring system failures, driving a 16.42% reduction in incident recurrence and improving operational cost efficiency and overall system reliability metrics.
• Designed and deployed interactive Power BI dashboards for KPI tracking, SLA adherence, and system performance, enhancing decision-making speed by 21.36% and enabling program-level reporting visibility and real-time executive insights.
• Supported PMO-level reporting by tracking multiple stakeholder workstreams, consolidating performance metrics, and ensuring alignment across teams, improving reporting accuracy and delivery timelines by 17.68% through governance.
• Led a team of 6 analysts, managing task allocation, mentoring, and delivery governance, while overseeing end-to-end project execution and performance tracking, resulting in a 14.85% improvement in team productivity and streamlined workstream execution.
• Conducted candidate interviews and selected best-fit resources, reducing ramp-up time and boosting delivery capacity.
• Developed capability-based rosters, optimizing workload distribution and improving utilization efficiency by 17.09%.
• Executed server-level troubleshooting including motherboard replacements and hardware diagnostics, reducing critical downtime by 13.64% and avoiding potential service loss costs through timely preventive maintenance actions.
• Orchestrated load balancing and failover strategies during peak load scenarios, enabling seamless traffic redistribution and reducing high-load system failures by 19.27%, safeguarding service availability and customer experience.
• Built performance monitoring frameworks including heatmaps, exception reporting, and battery health analytics, enabling predictive maintenance and improving system uptime by 15.72%, reducing unplanned operational expenses.

MCA - Haldia Institute of Technology (2020-01 - 2022-01)

B.Sc. Electronics (Hons.) - Electronics - Vidyasagar College, Calcutta University (2017-01 - 2020-01)