Abu Aasif Ansari
I help businesses fix messy data and build dashboards
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Sales, Customer & Marketing Analytics Dashboard Project
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I’m a Data Analyst specializing in cleaning, structuring, and analyzing marketing and sales data using Python, Excel, SQL, and Power BI.
I help businesses fix broken data pipelines, resolve formatting issues, and turn raw data into accurate dashboards that support decision-making.
My work focuses on clarity, reliability, and scalability—ensuring reports remain consistent as data grows.
If you’re struggling with inconsistent data or dashboards that don’t reflect reality, I can help streamline the process end-to-end.
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I specialize in data cleaning and preprocessing, ensuring your spreadsheets or databases are accurate, well-formatted, and ready for analysis or reporting.
What Ill do for you:
Remove duplicates, nulls, and inconsistencies
Standardize date, text, and numeric formats
Fix spelling/case issues
Split/merge columns (e.g., names, addresses)
Convert file formats (CSV Excel SQL)
Python or SQL-based advanced cleaning (if required)
Supported formats: Excel, CSV, Google Sheets, SQL dumps
Clean, fast & confidential service
100% satisfaction guaranteed
Message me before ordering so I can understand your dataset and goals!
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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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