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.

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

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 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 🎬

YouTube Channel Analysis and Forecasting, combines Power BI and Python to analyze, visualize, and predict YouTube video performance. It provides insights useful for audience engagement and monetization. The objective is to help creators identify the factors that lead to high-performing videos and forecast future success based on historical data.

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.

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

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 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.

A data-driven dashboard that tracks, analyzes, and visualizes stock price trends to identify patterns and support investment decisions.

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.