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

A complete end-to-end Bank Analytics project analyzing loan data and credit/debit transactions. Includes dashboards in Excel, Power BI, Tableau, SQL-based analysis, and a detailed presentation. Datasets are confidential and not uploaded.

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.

End-to-End IPL Data Analytics Project using Python, SQL, and Power BI to analyze team performance, player statistics, and venue impact.

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

End-to-end data analytics project analyzing customer churn behavior using Excel, Python, SQL, and Power BI.

A comprehensive Power BI dashboard for tracking and analyzing sales team performance, revenue metrics, quota achievement, regional comparisons, and identifying growth opportunities across products and territories.

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.

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.

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

End-to-end E-commerce Revenue & KPI Analysis using Python, SQL Server, and Power BI. Includes data cleaning, SQL modeling, DAX KPIs, and an interactive BI dashboard.

Full-cycle e-commerce data analysis project with SQL, Python, and Power BI from raw data to executive insights.

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.

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.

Decision-focused injury impact analytics (15,600+ records) analyzing availability loss, severity trends, and high-risk player profiles using SQL & Power BI.

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.

Analyzing $33B in lending data across 2 Million+ records to identify credit risk patterns using Python, SQL, and Power BI.

A comprehensive Power BI dashboard providing analytical insights into movie industry data including box office performance, ratings, genres, director/actor metrics, and trends. Analyzes budget vs revenue, release timing impact, and audience preferences.

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

End-to-end data analysis project on a global electronics retailer dataset using Python and Power BI. Includes data cleaning, transformation, and interactive dashboards to uncover insights across customers, products, and store performance.

This Power BI project is an interactive dashboard analyzing Superstore sales and profitability. It combines KPI tracking, trend analysis, and comparative insights across categories, regions, and segments. With drill-through, bookmarks, and clean design, it delivers actionable insights through modern data storytelling.

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