M POORNA PRADEEP REDDY POORNA PRADEEP REDDY

Data Analyst

Pulivendula, Andhra Pradesh 0+ yrs exp 86 · Excellent

About

Data Analyst with hands-on experience in Python, SQL, Power BI, Tableau, and Advanced Excel, leveraging data to drive business decisions through dashboard development, KPI reporting, and business analytics. Skilled in data cleaning, exploratory data analysis (EDA), data visualization, and transforming complex datasets into actionable insights. Experienced in analyzing sales, customer, and business performance data through real-world analytics projects. Bachelor’s degree in Computer Science Engineering (AI-ML) with a CGPA of 9.06, eager to contribute to data-driven business growth and decision-making.

Skills & Expertise (32)

Power BI Advanced

8.5/10

Years Exp

Dashboards Advanced

8.0/10

Years Exp

KPI Dashboards Advanced

8.0/10

Years Exp

Data Visualization Advanced

8.0/10

Years Exp

Python Intermediate

7.8/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

Power Query Intermediate

7.5/10

Years Exp

DAX Intermediate

7.5/10

Years Exp

Data Manipulation Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Microsoft Excel Intermediate

7.0/10

Years Exp

Business Insights Intermediate

7.0/10

Years Exp

Business Analytics Intermediate

7.0/10

Years Exp

Business Reporting Intermediate

7.0/10

Years Exp

Analytical Thinking Intermediate

7.0/10

Years Exp

Problem-solving Intermediate

7.0/10

Years Exp

Communication Intermediate

7.0/10

Years Exp

Presentation Intermediate

7.0/10

Years Exp

Storytelling Intermediate

7.0/10

Years Exp

Pivot Tables Intermediate

7.0/10

Years Exp

KPI Analysis Intermediate

7.0/10

Years Exp

Seaborn Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Advanced Excel Intermediate

7.0/10

Years Exp

VLOOKUP Intermediate

6.5/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

MySql Intermediate

6.0/10

0.5

Years Exp

Tableau Intermediate

5.5/10

0.5

Years Exp

EDA Exploratory data analysis

Work Experience

Data Analyst

E-Commerce Sales Analytics Dashboard

Oct 2025 - Nov 2025

Analyzed 9,994 e-commerce transactions in Power BI to uncover sales trends, customer behavior, and product performance, enabling data-driven inventory planning and marketing decisions. Resolved missing values, corrected data inconsistencies, and created calculated columns in Excel and Power BI to ensure high-quality data and improve reporting accuracy. Built an interactive Power BI dashboard with DAX measures for Total Sales, Average Order Value (AOV), Total Orders, and Unique Customers, enabling analysis across region, segment, and product category dimensions.

Data Analyst

BlinkIT Grocery Sales Analysis

Oct 2025 - Nov 2025

Analyzed 8,500+ BlinkIT grocery sales records in Power BI to evaluate sales performance, customer ratings, product categories, and outlet-level trends, supporting data-driven business decisions. Cleaned, transformed, and modeled data using Power Query and DAX to track KPIs including Total Sales, Average Sales, Item Count, and Average Rating, supporting business performance monitoring. Analyzed outlet size, outlet type, location tiers, and product categories through interactive Power BI visualizations to identify business trends and support data-driven decision-making.

Data Analyst

Bank Attrition Analysis

Sep 2025 - Oct 2025

Conducted exploratory data analysis (EDA) on 15,000 bank customer records using Python, Pandas, and NumPy to identify customer churn patterns and generate actionable business insights for retention strategies. Cleaned and standardized customer data, then created customer segments based on age, salary, and credit score to support customer retention strategies and targeted business decisions. Built visualizations using Matplotlib and Seaborn to identify key customer churn drivers, including inactivity and complaints, and presented actionable recommendations to support customer retention strategies.