Mudunuru Tejaswini

Entry-level Data Analyst

Visakhapatnam, Andhra Pradesh 80 · Excellent

About

Entry-level Data Analyst with hands-on experience in SQL analysis, Power BI dashboards, Advanced Excel reporting, and high-volume data validation. Skilled in data cleaning, discrepancy resolution, and building BI solutions to support risk and business insights. Exposure to cybersecurity-adjacent data operations through insurance records processing. Immediate joiner, open to relocation.

Skills & Expertise (22)

SQL Intermediate

7.0/10

Years Exp

Python Intermediate

6.2/10

Years Exp

Power BI Intermediate

6.1/10

Years Exp

Exception Handling Aggregations CTEs Joins Data Modeling DAX Power Pivot Power Query Pivot Tables Jira Agile SLA-Based Reporting Data Preparation Data Analysis Data Validation Data Cleaning Advanced Excel Postgresql MySql

Work Experience

Process Executive Trainee

Patra Corp

Feb 2025 - May 2025

Processed and validated 50–80 US insurance records daily using Excel-based verification checks, ensuring data accuracy in compliance with SLA timelines — directly relevant to risk data assurance practices. Identified and resolved 20+ data discrepancies per week through systematic exception handling and document verification, improving record reliability. Maintained operational reporting requirements by performing structured data quality checks across high-volume datasets. Collaborated with team leads to flag anomalies and ensure consistent, audit-ready outputs — reflecting stakeholder reporting responsibilities.

Data Analytics Intern

Millennium Software Solutions

Feb 2024 - May 2024

Cleaned and analyzed 5,000+ structured records using Excel and SQL to identify trends and extract actionable insights. Built automated Excel reports using Pivot Tables and formulas, reducing manual reporting effort by 2–3 hours per week. Completed a Music Store Data Analysis project using PostgreSQL and Python — analyzing sales trends and customer purchasing patterns across multiple relational tables. Supported data preparation workflows for stakeholder presentations, translating raw data into clear, decision-ready summaries.