Transforming complex data into actionable insights. Specialized in SQL, PowerBI, Python, and ServiceNow Analytics. Currently working with IT Service Operations and Automation team for one of the Top 5 US-based banks.
I'm a passionate Data Analyst based in Hyderabad, India, currently working at HCLTech where I work with the IT Service Operations and Automation team for one of the largest US-based banking institutions.
My expertise lies in extracting meaningful insights from vast datasets, creating interactive dashboards that drive decision-making, and optimizing processes through data-driven strategies. I work extensively with SQL for data manipulation, Power BI and ServiceNow for visualization, and Python for advanced analytics.
At HCLTech with the IT Service Operations and Automation team, I analyze performance metrics, helping identify bottlenecks and improve operational efficiency through automation. My work has directly contributed to reducing ticket resolution times and enhancing customer satisfaction scores.
Turning complex data into clear, actionable insights
Identifying inefficiencies and driving improvements
Creating dashboards that empower stakeholders
Leading data analytics initiatives for one of the Top 5 US-based banks' IT Service Operations and Automation team, delivering insights across multiple service channels and automation workflows (calls, chats, tickets, automated processes).
Comprehensive Power BI dashboard tracking real-time performance metrics for IT operations and automation workflows. Includes SLA tracking, CSAT scores, ticket volume analysis, automation efficiency metrics, and operational productivity insights.
Python-based automated system for analyzing and categorizing 40,000+ monthly tickets. Uses Pattern Recognition techniques for problem analysis and automatic categorization, with integration to ServiceNow for real-time data extraction.
Machine learning model that predicts potential SLA violations based on historical ticket data, agent availability, and ticket complexity. Enables proactive resource allocation and intervention to maintain service levels.
Comprehensive data quality framework ensuring 98% accuracy in reporting. Includes automated validation rules, anomaly detection, and data reconciliation processes across multiple data sources (ServiceNow, Oracle DB, Excel).
Suite of 12 executive dashboards providing high-level insights on IT Service Operations, automation efficiency, including trend analysis, cost optimization opportunities, and strategic recommendations. Used by C-level executives for quarterly business reviews.
Advanced analytics project identifying overstaffing and understaffing patterns based on ticket volume trends, seasonal variations, and agent utilization rates. Recommendations led to 15% reduction in operational costs.
I'm always interested in hearing about new opportunities, collaborations, or just chatting about data analytics.
Hyderabad, India
prathmeshbhandarkar90@gmail.com