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

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.

Power BI dashboard and data pipeline for T20 World Cup 2024—scraped match, batting, bowling, and player data with clean CSVs and interactive insights.

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.

COVID-19 Power BI Dashboard analyzing patient outcomes across administrative, clinical, comorbidities, and demographic factors

Comprehensive Power BI dashboard analyzing diabetes patient data with interactive visualizations, DAX calculations, and healthcare insights

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.

This project analyzes 10 years of U.S. domestic airline data (~3GB) using Hadoop (Cloudera) and Hive for data processing. Power BI dashboards visualize key metrics like delays, on-time rates, air time, and diversions. The solution includes Hive queries, DAX measures, HDFS ingestion scripts, and year-wise insights with recommendations.

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.

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.

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.

Netflix content insights and overview 🎬

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 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.

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

Interactive Power BI dashboard analyzing financial performance across segments, products, and geographies with actionable business insights. End-to-end financial data analysis using Power BI – uncovering sales trends, profit margins, and segment performance for better decision-making.A financial analytics project showcasing KPI, profitable analysis

A Power BI Dashboard designed to provide valuable insights into business performance for the Shop Sphere e-commerce platform.

An interactive Mobile Sales Dashboard providing deep insights into sales trends, payment methods, customer ratings, and city-wise distribution using dynamic visualizations. 🚀

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.