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Customer Segmentation Using SQL CASE Statements
Used SQL conditional logic to segment records into business categories based on numerical thresholds. Implemented CASE WHEN statements to classify entities into low, medium, and high-value groups, enabling easier downstream analysis and reporting.
Skills Demonstrated:
- SQL
- CASE Statements
- Data Transformation
- Data Categorization
- Business Logic Implementation
- Feature Engineering
Business Value:
Converting continuous metrics into categories allows organizations to simplify reporting, improve customer targeting, and support decision-making processes.
Interesting work! In a recent NLP analysis I conducted on job postings, SQL consistently appeared as one of the most in-demand technical skills after Python. In many data-related roles, it was even listed as a core requirement. It really highlights how essential SQL remains in...
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Sales Performance Dashboard | Power BI
Designed and developed an interactive sales analytics dashboard to help stakeholders monitor revenue, customer growth, product performance, and regional sales trends in one centralized view.
Tools Used:
- Power BI
-Power Query
- DAX
- PowerPoint (wireframing and dashboard planning)
My Contributions:
- Imported and transformed raw sales data using Power Query.
- Built a star schema data model by creating relationships between fact and dimension tables.
Developed DAX measures for:
- Total Sales ($105M)
- Total Quantity Sold (6M units)
- Total Customers (9,191)
- Average Unit Price ($17.6)
- Created Previous Year (PY) metrics and Year-over-Year growth calculations for sales, quantity, and customers.
- Implemented conditional formatting with dynamic color indicators to highlight performance changes.
Dashboard Features:
- Geographic sales analysis using Shape Maps.
- Monthly trends for sales, quantity, pricing, and customer acquisition.
- Customer segment analysis using donut charts.
- Product and country performance rankings using stacked bar charts.
- Interactive filtering for business units and service plans.
Business Impact:
The dashboard provides decision-makers with a single source of truth for tracking sales performance, customer behavior, and regional trends, enabling faster and more informed business decisions.
Data VisualizationMicrosoft Power BIBusiness AnalysisData AnalysisMicrosoft ExcelMicrosoft PowerPoint
Built this one for an e-commerce customer behavior project - 18,000+ customers, segmented using RFM (Recency, Frequency, Monetary) analysis.
The interesting part wasn't the segmentation itself, it was what it revealed: nearly 22% of customers were "at risk" of churning, and most businesses wouldn't know that until those customers had already stopped buying.
This is the kind of insight that's usually sitting in your order data already, it just needs the right lens. Happy to take a look at your numbers if you're curious what's hiding in yours.
Tools used: Power BI, SQL, Python (Pandas, Scikit-learn for clustering)
Sales Performance Analysis using Excel Pivot Tables
Analyzed sales performance data using Excel Pivot Tables to identify revenue contribution across sales representatives and product categories. Built interactive summaries to compare individual sales performance, product demand, and overall business revenue.
Tools Used:
- Microsoft Excel
- Pivot Tables
- Pivot Charts
- Data Aggregation
- Business Reporting
My Contributions:
- Structured raw sales data for analysis.
- Built Pivot Tables to summarize sales by:
- Sales Representatives
- Product Categories
- Revenue Contribution
- Created dynamic reports to compare performance across products and team members.
- Used Excel aggregation functions to generate business insights from transactional data.
Key Insights:
Identified top-performing sales representatives.
Determined highest revenue-generating product categories.
Highlighted sales concentration across products and personnel.
Business Value:
The analysis provided management with a quick overview of sales performance and product contribution, enabling data-driven decisions around sales strategy and resource allocation.
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