Freelancers using Microsoft Power BI in Kagal
Freelancers using Microsoft Power BI in Kagal
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Abu Aasif Ansari
Kagal, India
I help businesses fix messy data and build dashboards
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I help businesses fix messy data and build dashboards
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Sales, Customer & Marketing Analytics Dashboard Project
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Data Analytics Project – Subscription Model Analysis (SQL & Power BI) Analyzed a subscription-based business model for Foodie-Fi (TastyStream), a digital platform offering on-demand global cuisine content. The objective was to understand customer journeys, subscription transitions, and revenue performance using SQL and Power BI. Key Contributions & Insights: Segmented customers based on trial-to-paid and plan transitions. Analyzed free trial behavior and conversion patterns. Evaluated revenue performance across subscription plans. Built interactive dashboards in Power BI for actionable insights. Tools Used: MYSQL, Power BI Outcome: Delivered a clear, insight-driven dashboard supporting data-driven decisions in a subscription-based business.
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🚀 SQL & Tableau Project | Sales Analytics Dashboard To practice real-world analytics, I built an interactive Sales Analytics Dashboard using SQL & Tableau to analyze sales performance and customer behavior. 🔹 Dataset Highlights OrderID, CustomerID, Product, Category, Sales, Quantity, Discount, Profit, Region, OrderDate 🔹 Dashboard Coverage • Sales overview: Total Sales, Profit & Orders • Product performance: Top-selling products & category insights • Monthly sales trends 🔹 Tools Used • SQL • Tableau 🔹 Key Insights • A small customer segment drives most revenue • Certain product categories consistently outperform others • Clear seasonal sales patterns 🔹 What I Learned • Writing efficient SQL queries for analysis • Translating numbers into business-friendly visuals • Designing dashboards that support data-driven decisions
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Sales, Customer & Marketing Analytics in Power BI I built a complete 3-page Power BI dashboard to analyze Sales performance, Customer behavior, and Marketing ROI—all in one place. 🔍 Sales Overview Revenue trends & top product categories Total Sales, Orders & Average Order Value Region-wise and payment method analysis 👥 Customer Insights New vs Returning customers Customer Lifetime Value (LTV) by region Purchase frequency & repeat behavior using DAX 📈 Marketing Performance Spend vs Revenue across Paid Ads, Social, Referral, Influencer/UGC, Email & Offline Clear ROI comparison to identify winning and underperforming channels 🛠 Tools Used: Power BI, SQL, DAX, CSV 💡 Outcome: This project shows how combining Sales, Customer, and Marketing data helps businesses make faster, smarter decisions.
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