Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

This repository 📂 features a collection of advanced Power BI projects, diving into data analysis across diverse domains like finance 🏦, healthcare 🏥, retail 🛒, and more. Each project includes interactive dashboards 📊, key insights 🔍, and analytical approaches to deliver valuable business intelligence solutions 💡.

Welcome to the Financial Reporting & Analysis with Power BI repository! This project showcases a comprehensive financial reporting and advanced analysis solution built using Power BI. Leveraging powerful data analysis expressions (DAX) and financial analysis techniques.

This project uses Power BI to analyze banking data, improving risk management, customer insights, and branch efficiency through interactive dashboards and advanced analytics.

This project involved analyzing Zomato restaurant data using advanced Excel functions and SQL queries, and creating interactive dashboards using Power BI and Tableau. The project provided valuable insights into restaurant industry trends related to location, opening trends, ratings, and price ranges.

An end-to-end Power BI analytics practice project exploring global Data Science salary trends, job market dynamics, and hiring funnels. Featuring interactive dashboards, advanced DAX measures, and geospatial analysis to uncover insights into compensation, degree requirements, and industry demand.

This project presents a comprehensive inventory management report created using Power BI. It focuses on tracking inventory levels, turnover rates, and optimizing supply chain efficiency through advanced visualizations.

Online Book Management App that seamlessly integrates data from various sources, undergoes Extract, Transform, Load (ETL) processes, and utilizes Power BI for advanced data analytics and visualization. This project is a testament to the power of ETL and data analytics in driving meaningful insights for decision-makers

AdventureWorks is a fictitious multinational manufacturing company. The data set used for this report is from the AdventureWorks2014 version. The goal of this project is to demonstrate how building powerful and beautiful (I hope :)) reports in Power BI by following the data visualization best practices and the data modelling patterns, showing the awesome features of Power BI like Report Page Tooltip, Calculated Groups, Forecasting, What-If parameters, Time Intelligence Functions, complex DAX code, custom charts and how it is easy to integrate Power BI with Python/R script in order to build machine learning models and so creating advanced and predictive analytics reports. Reports Pages are as follow: - P&L Overview: Profit & Loss Report, in which I analyzed the economic status of the company from the point of view of Revenues and Expenditures. In this report page I compared the trend of actual amount and budget amount, unfortunately for 2011 year only (missing data for other years). You can notice the powerful feature of “report page tooltip” in this page, by hovering over the bar charts. - Internet Sales Overview: in this report page I analyzed the sales of products to customers via Internet. You can notice the forecasting feature of Power BI and the use of what-if parameters in order to build advanced analytics reports. Also I made use of calculated groups (for further info about visit https://www.sqlbi.com/articles/introducing-calculation-groups/). - Reseller Sales Overview: similar to the previous one, but this time the focus is on the sales of products to resellers. Things to notice in this report page are the comparison of current sales vs last year sales, the comparison of actual sales amount vs budget/quota sales amount, and the running total and moving/running average charts. - Product Inventory Overview: inventory management analysis of the company. I analyzed the current stock on hold vs the recent sales revenue, showing the value of current stock, the current units in stock and the stock ratio. - Products Overview: in this report page I analyzed the products by category, color, size, “ABC” class too. Two very interesting and powerful things to notice: the basket analysis using DAX and the basket/association rules analysis using R script and apriori machine learning model. I made use of the custom chart called “Network Chart” to represent the association rules between products. Through the basket analysis the user could know which product is likely to be bought with another one. - Customers Overview: customer analysis by age group, location, status, and so on. The customer could be classified as “Bike Buyer” and “Non Bike Buyer”. So I decided to build a machine learning model (in this case I used XGBoost algorithm in Python) in order to predict if a (new) customer would be a bike buyer or not. The model has a prediction accuracy of about 84% which it is not bad. - Employees Overview: employee analysis by sales location, title, age. Thing to notice is the ribbon chart through which I can analyze the performance of employees over time. - Reseller Overview: analysis of the performance of the resellers. Important dimensions to analyze are the business type, the product line, the reseller location.

Power-BI-Dashboards is a collection of interactive Power BI projects showcasing advanced data analysis and visualization. Each project includes .pbix files, scripts, sample data, and documentation to explore diverse use cases. Ideal for learning, sharing insights, and mastering Power BI techniques.

An interactive Power BI dashboard analyzing agricultural commodity prices across states, districts, and markets. The project highlights price trends, volatility, profit margins, YoY changes, and stability using advanced DAX measures and insightful visualizations.”

This project revived a dormant laptop store using advanced data analysis, Python tools like BeautifulSoup and scikit-learn, and a robust MySQL/SQL Server database. We created interactive visualizations with Power BI and Streamlit, empowering effective sales strategies through machine learning-driven insights and comprehensive data analysis.

SQL Server database project with advanced analytics, data integrity logic, and Power BI dashboards for inventory and sales insights.

This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.

This project focuses on building an end-to-end Sales Analysis Dashboard using Power BI, aimed at tracking business performance across revenue, profit, orders, customers, products, and returns. The project demonstrates real-world Power BI skills, including data modeling, Power Query transformations, advanced DAX measures, and interactive reports.

Zomato Restaurant Data Analysis Project This project involved analyzing Zomato restaurant data using advanced Excel functions and SQL queries, and creating interactive dashboards using Power BI and Tableau.

This project provides an in-depth analysis of healthcare data from hospitals in California using advanced data visualization techniques like Power BI, Tableau, and Excel.

This repository showcases a Power BI project integrating data from diverse sources, leveraging AI visuals and ML analytics for analysis and visualization. It underscores Power BI's power in exploring, cleaning, modelling, and visualizing data, deriving insights and data-driven solutions through advanced AI and ML techniques.

End-to-end data analysis project demonstrating advanced Excel proficiency in cleaning messy HR data, analyzing major payroll leakage, and developing a Power BI dashboard for strategic business recommendations.

This project brings together advanced Excel techniques, VBA automation, Power Query data transformations, and Power BI reporting. It includes a variety of lookup functions (such as VLOOKUP, XLOOKUP, INDEX/MATCH), dynamic formulas, and structured workbook models. Power Query is used for data cleaning, merging, and reshaping to create consistent, rep

This project presents a comprehensive analysis of cryptocurrency market data using **Power BI** and **DAX**. The workflow includes data cleaning, exploratory data analysis, dashboard design, and advanced analytical insights to understand price behavior, trading volume, volatility, and market trends.

Discover a portfolio of comprehensive data analytics projects featuring SQL, Python, and Power BI. Uncover critical insights and data-driven solutions to real-world challenges through advanced data extraction, in-depth analysis, and dynamic visualization. Perfect for both novices and seasoned professionals aiming to elevate their data analytics.

This Power BI project features an interactive dashboard analyzing Spotify’s streaming data. It visualizes popular tracks, user behavior, and trends, using advanced data cleaning, DAX measures, and interactive filters. Explore how raw data can be transformed into actionable insights. Feedback and contributions are welcome!

An advanced data analytics project using Power BI and SQL to analyze and visualize global development indicators sourced from the World Bank API.

Comprehensive 3-in-1 Power BI project analyzing loan defaults, applicant demographics, and financial risk metrics using SQL Server, Dataflows, DAX, and advanced dashboarding.

Explore comprehensive end-to-end data analysis projects, from data collection to insightful dashboard development. Utilizing advanced techniques and tools like SQL, Power BI, DAX, and Power Query, these projects uncover valuable business insights and trends, perfect for mastering advanced data analysis and driving strategic decision-making.

📌 This project presents an 📊 interactive Power BI dashboard built on Super Store sales data to analyze performance, customer behavior, and profitability trends. The solution integrates data cleaning (🧹 Excel), SQL queries (🗄️), and advanced Power BI modeling (📈) to deliver actionable insights.

Hospital Management Analytics Project — End-to-End ETL Pipeline using Python, MySQL Relational Database Design, and Power BI Interactive Dashboard for operational insights. Includes data cleaning, transformation, automated loading (ETL), SQL schema + advanced queries, and complete BI reporting.

Welcome to my Data Analytics Portfolio! This repository showcases my expertise in data analysis, automation, web scraping, and dashboarding using Python and Power BI. Here, you'll find: Automated data collection scripts Interactive dashboards Real-world business datasets End-to-end analytics workflows Advanced web scraping projects

This project provides insights into product sales performance across time, segment, country, and categories. It leverages advanced Power BI techniques for UI/UX enhancements like layer grouping, bookmarks, custom backgrounds,drillthroughs, tooltips, slicers, conditional formatting and themes with interactive navigation, enhancing user experience.