Headline

Analyst @ FIS | Data Science, Artificial Intelligence

About

As an Analyst at FIS since March 2025, I have been engaged in enterprise banking network monitoring, leveraging tools like SolarWinds, ELK Stack, and Power BI to ensure system uptime and improve SLA compliance. My role includes diagnosing network incidents to enhance operational stability, developing DAX-based dashboards for performance monitoring, and streamlining ServiceNow incident workflows. Currently pursuing an MBA in Data Science and Artificial Intelligence at SRM Institute of Science and Technology (expected Dec 2026), building upon a strong foundation in information technology earned during my BTech at Rajalakshmi Engineering College. My technical expertise includes VLAN configuration, DMVPN, MPLS, SQL, and Power BI. I am committed to using data-driven insights to drive operational excellence and support business intelligence advancements.

Location

Bengaluru

AI stack

gemini

github copilot

meta

n8n

notion

openai

Work experience

Analyst at FIS, Mar 2025 - Present · 1 yr 9 mos, Bengaluru, Monitored enterprise banking network infrastructure (SolarWinds, ELK Stack, TACACS, Arcon PAM), maintaining 99%+ system uptime across firewalls, routers, switches, and IoT endpoints Built and deployed Power BI dashboards with DAX-based KPI calculations for real-time performance monitoring, improving SLA compliance by 20% — formally recognized by FIS Global Diagnosed root causes of network incidents using log analytics and operational data, reducing customer-reported issues by 15% and cutting Mean Time to Resolution (MTTR) by 25% Designed SLA compliance reports and triaged ServiceNow incidents by priority, accelerating resolution workflows and ensuring data quality across operational reports

Education

Master of Business Administration, Data science and Artifical intelligent, SRM Institute of Science and Technology (SRMIST)

Bachelor of Technology - BTech, Information Technology, Rajalakshmi Engineering college