Jyoti Varshney AE3039

Noida, India 70 · Very Good

About

Computer Science Engineering graduate with hands-on experience in Data Analysis, Business Intelligence, SQL, Excel, Dashboard Development, and Reporting. Skilled in transforming complex datasets into actionable business insights through Power BI dashboards, KPI tracking, data visualization, and analytical reporting. Experienced in data validation, trend analysis, reporting automation, and performance monitoring. Strong analytical mindset with the ability to identify business opportunities and support data-driven decision-making.

Skills & Expertise (28)

Microsoft Excel Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Postgresql Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

Dashboard Development Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Data Visualization Intermediate

5.5/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

Root Cause Analysis Intermediate

5.0/10

Years Exp

DAX Intermediate

5.0/10

Years Exp

Data Modeling Intermediate

5.0/10

Years Exp

JavaScript Intermediate

5.0/10

Years Exp

Python Intermediate

5.0/10

Years Exp

Performance Monitoring Intermediate

5.0/10

Years Exp

Business Reporting Intermediate

5.0/10

Years Exp

MIS Reporting Intermediate

5.0/10

Years Exp

Data Transformation Intermediate

5.0/10

Years Exp

Data Validation Intermediate

5.0/10

Years Exp

KPI Analysis Intermediate

5.0/10

Years Exp

Trend Analysis Intermediate

5.0/10

Years Exp

Analytical Thinking Problem Solving Communication Team Collaboration

Work Experience

Technical Operations Intern

MobiKwik

Present - Present

Analyzed operational datasets using SQL and Excel to identify trends, inconsistencies, and business insights. Built KPI tracking reports and performance dashboards to support business decision-making. Performed data validation, reconciliation, and quality assurance checks on large datasets. Generated analytical reports and provided actionable insights to improve operational efficiency. Conducted root cause analysis and collaborated with cross-functional teams to resolve issues. Supported reporting automation initiatives and business performance monitoring activities.