Genamala Pavani

Junior Data Analyst

Madanapalle 0+ yrs exp 80 · Excellent

About

Detail-oriented and analytical BCA graduate seeking a Junior Data Analyst role, with hands-on experience collecting, cleaning, and analyzing data using SQL, Microsoft Excel, Power BI, and Python. Skilled in writing SQL queries, building pivot tables and dashboards, and applying basic statistical techniques to uncover trends and support business decisions. Comfortable documenting analysis processes, presenting findings to stakeholders, and collaborating with cross-functional teams in a remote, self-directed environment.

Skills & Expertise (39)

Microsoft Excel Advanced

8.0/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Pattern Identification ETL validation Deduplication Pandas Exploratory data analysis Trend Identification Tableau Basic Statistics MEAN Median Correlation Documentation Stakeholder presentations Cross-functional Teamwork Independent Remote Work VLOOKUP MySql Postgresql SQL Server Joins Aggregate Functions GROUP BY Date functions Pivot Tables Business Reporting XLOOKUP Index-match Charts Dashboards Data Validation Conditional Formatting DAX Dashboard Design

Work Experience

Data Analyst Intern

Elevate Labs

May 2026 - Jun 2026

Collected, cleaned, and organized data from multiple sources into structured Excel and Power BI reports, validating accuracy and maintaining data integrity. Wrote SQL queries to retrieve, clean, transform, and analyze datasets, converting raw data into structured reports and visual summaries. Analyzed datasets to identify trends and patterns, building a Retail Business Performance & Profitability dashboard — tracked sales, profit, customer orders, and regional performance using pivot tables and DAX measures in Power BI. Assisted in an HR Analytics — Employee Attrition Prediction project, applying data cleaning, exploratory data analysis, and basic statistical/predictive modeling (Python, Logistic Regression); tracked KPIs on an interactive dashboard. Documented analysis processes and presented findings and dashboards to peers and mentors to support data-driven decisions. Collaborated with team members to understand reporting requirements and deliver accurate, timely, actionable insights.