The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

Mutual Fund Analysis Dashboard using Python, Excel, and Power BI | Top 30 Low-Risk High-Return Schemes Identified

This project focuses on analyzing and visualizing digital payment data from the PhonePe Pulse GitHub repository. The dataset includes transaction trends and geographical insights across Indian states and districts. The goal is to extract meaningful insights, create structured datasets and present interactive dashboards for exploration.

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.

A Power BI dashboard for Tennis Central to support store expansion by transforming sales data from Lightspeed and Shopify into actionable insights on sales, inventory, and customer trends.

Customer churn analysis project using Excel and Power BI. This project investigates the exit patterns of banking customers using various demographics and behavior indicators such as age, gender, credit card status, geography, and credit score. Insights help identify key drivers of churn and guide retention strategies.

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

This analysis presents a detailed overview of key metrics in the cafe business, including profitability, discount trends, delivery performance, and order behavior. It highlights top products, high-demand regions, and supports data-driven decisions to improve efficiency and profit.

This HR Analytics Dashboard provides key insights into employee attrition, department-wise turnover, job satisfaction levels, and workforce demographics. Power BI was used for interactive data visualization with DAX calculations. Tableau was used for advanced filtering and storytelling dashboards.

Call Centre Power BI dashboard using Advanced Excel, Power BI

A Power BI Report on Restaurant Ratings Analysis

A Data Analytics project on Bike Sales and Performance using Power BI

This Power BI dashboard is designed to support property managers in efficiently overseeing and managing real estate operations across multiple properties. It provides a centralized, visual overview of key property management functions such as location management, maintenance tracking, lease expirations, and property conditions.

Customer Segmentation using RFM and Pareto Analysis on E-commerce data, with actionable insights and an interactive Power BI dashboard.

This project analyzes Inpatient and Outpatient Waiting Lists from 2018 to 2021, highlighting trends in patient wait times across various medical specialties. Using Power BI, the data was cleaned, modeled, and visualized to provide insights into waiting time distribution, specialty-wise backlogs, and yearly trends.

This project demonstrates a complete data analytics pipeline starting from raw real-world flight data to professional visual dashboards using SQL Server and Power BI. It showcases data import, cleaning, optimization, transformation, and dynamic DAX-based visual reporting.

This project uses Hadoop and Power BI to analyze 600+ loan applications based on income, credit history, employment, and demographics. The project uncovers key approval factors such as credit history and marital status while highlighting disparities by gender and region. Interactive dashboards reveal patterns across loan amounts,applicant profiles.