dax-measures

End-to-end Power BI project analyzing the 2025 Tamil Nadu electoral roll revision (SSR vs SIR). Includes star-schema data model, Power Query transformations, 35+ DAX measures, interactive navigation, and production-style dashboards for voter growth, gender analysis, cleanup impact, and district/AC-level drill-down.

Power BI + SQL analytics project analyzing a synthetic Kenyan mobile-money agent network ; 1M transactions, star schema, DAX, geographic profitability insights.

SaaS Email Deliverability & Abuse Intelligence — star-schema analytics project: a mid-year deliverability incident and a Free-tier abuse cluster, with Python data pipeline, DuckDB SQL, and a Power BI dashboard.

Power BI dashboard project analyzing global business performance of AtliQ Hardware. Includes insights across Finance, Sales, Marketing, and Supply Chain departments using real-world KPIs, trends, and profitability metrics. Built for executive decision-making and stakeholder reporting.

A Power BI case study analyzing customer churn and retention for a telecom client, with insights developed from raw data and business requirements provided by PwC Switzerland. This project highlights key KPIs, visual storytelling, and proactive churn risk strategies.

An enterprise-grade Power BI dashboard analyzing AtliQ Hardware's multi-regional operations across Finance, Sales, Marketing, Supply Chain, and Executive decision-making using automated ETL pipelines and DAX modeling.

Social Media Ad Performance Analytics Dashboard using PowerBI

An Organized and a single-page Power BI dashboard built from a jobs dataset, offering streamlined yet powerful insights into the job market. It integrates KPIs, skill popularity metrics, salary comparisons, and interactive filtering to help users quickly understand trends and opportunities.

Beverage sales analysis project for the U.S.A market, built with Excel & Power BI. Features data transformation, DAX measures, KPI dashboards, maps, top/bottom states insights, and advanced profitability metrics. Designed to visualize performance trends, enhance decision-making, & demonstrate analytical storytelling through interactive dashboards.

End-to-end Order-to-Cash analytics platform: Excel → Python → MySQL star schema → Power BI dashboards with DAX and RLS.

Interactive Power BI dashboard for marketplace sales data analysis, including DAX measures and data modeling.

Dubai Real Estate Market Analytics dashboard on PowerBI

₿ Bitcoin Market Analysis An end-to-end Bitcoin Market Analysis project focused on analyzing historical cryptocurrency price data and identifying important market trends, price movements, and volatility patterns. 🔍 Project Highlights 📈 Historical Bitcoin price trend analysis 💰 Open, High, Low & Close price analysis

An end-to-end Sales Analytics project using MySQL and Power BI. The project includes database design, advanced SQL analysis, interactive dashboards, and business insights from the Northwind dataset.

End-to-end Power BI dashboard analysing AI companies across revenue, funding, workforce size and AI model development using Epoch AI data.

Dashboard on deep dive analysis on results of Indian General Election 2024

This Power BI dashboard analyzes survey responses from data professionals, covering key aspects such as salary distribution, job satisfaction, and preferred programming languages. The insights help understand trends in the data industry and what matters most to professionals.

The Awesome Chocolates Sales Report is a Power BI dashboard designed to provide key insights into sales performance, shipment trends, and geographical distribution. This interactive report helps stakeholders track revenue, product sales, and efficiency metrics using dynamic visualizations and DAX-driven KPIs.

Interactive Power BI dashboard analyzing coffee shop sales, products, categories, stores, customer purchasing patterns, and MoM growth. Used Excel, Power BI, DAX, data modeling, time intelligence, and data visualization to generate actionable business insights.

Bank Fraud Risk Analysis Dashboard using Power BI + Python 📊 40,959 customer records | 6 interactive dashboard pages Here's what I discovered✅ Poor credit customers carry 2.6× more debt ✅ Payment delays 2.7× longer than good credit holders ✅ Interest rates nearly TRIPLE: 7.6% → 20% ✅ 29.4% of customers are high-risk profiles