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Data Analyst with 4+ years in Power BI & SQL data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with 4 years of experience transforming IT and operational data into actionable business insights. Expertise in Power BI dashboard development, SQL data querying, advanced Excel automation, and KPI reporting. Proven track record of improving reporting efficiency by 40% and enhancing operational visibility through interactive dashboards. Strong analytical mindset with experience in data validation, audit analytics, trend analysis, and performance optimization.
Dr. N.G.P Arts and Science College
B.Com · Professional Accounting
N/A – June 30, 2021
KGISL Infrastructure Pvt Ltd
Data Analyst - IT Operations
January 1, 2022 – Present
India
IT Operations Performance Dashboard
June 27, 2026 – Present
Built a centralized BI solution integrating multiple data sources to track KPIs such as uptime %, incident trends, storage capacity, and user access logs.
Asset Lifecycle & Audit Analytics
June 27, 2026 – Present
Created relational data models and visual dashboards to monitor asset validation rates, audit findings, and lifecycle stages.
Service Ticket Trend & Root Cause Analysis
June 27, 2026 – Present
Performed SQL-based aggregations and visual analysis to identify high-frequency issues and improve SLA performance tracking.
Expense & Resource Utilization Dashboard
June 27, 2026 – Present
Developed financial and operational tracking reports to support cost optimization and decision-making.
Cultural Fit Analysis
The candidate's experience is primarily focused on IT operations and internal analytics, which aligns well with roles requiring practical application of data analysis to business problems. The project diversity, while within a single company, covers various operational aspects (IT performance, asset management, service tickets, financial tracking). The listed skills and project types suggest a preference for structured data environments and established BI tools. The candidate's background in professional accounting combined with data analysis skills could be a strong asset for roles requiring financial data insights.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, attention to detail in data validation, and a results-oriented approach through quantifiable achievements (e.g., 30% improved data accuracy, 40% reduced reporting time). Experience in UAT and documenting defects suggests a methodical approach to quality assurance. The ability to facilitate workshops indicates potential for knowledge transfer and collaboration.