✅ 1. Start with the Project Summary (Situation)
"I worked on a Sales Analysis project where the goal was to analyze customer buying patterns and improve sales strategy using SQL."
✅ 2. Define Your Role (Task)
"My role was to clean, transform, and analyze the sales data using SQL, and generate insights for the business team."
✅ 3. Walk Through the Implementation (Action)
Break this down into technical steps:
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Data Cleaning:
Used SQL to handle missing values, remove duplicates, and standardize product names. -
Data Transformation:
Joined tables such asOrders
,Customers
,Products
using INNER and LEFT JOINs. Created calculated columns like total revenue, profit margin, and customer lifetime value. -
Analysis & Queries:
Wrote SQL queries to find top-selling products, monthly sales trends, and customer segments. Used CASE WHEN for conditional logic and CTEs for complex queries. -
Reporting:
Created views and exported query results to Power BI for visualization.
✅ 4. Share the Outcome (Result)
"The insights helped identify the top 20% of customers contributing to 80% of the revenue, and the business team launched targeted campaigns that increased sales by 15% over the next quarter."
Bonus Tips:
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Use technical keywords (JOINS, CTEs, Window Functions, Aggregations).
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Keep it relevant to the job description (e.g., if it's for a reporting role, mention views or dashboards).
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Be ready to show sample queries or explain logic line by line if asked.
Great! Please answer a few quick questions so I can tailor your SQL project explanation:
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What was the name or goal of your project? (e.g., Sales Analysis, Customer Retention, Inventory Management)
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What datasets or tables did you work with? (e.g., Orders, Customers, Transactions)
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What were some key SQL tasks you performed? (e.g., JOINS, Window Functions, Aggregations, CTEs)
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What was the final output or impact? (e.g., Improved reporting, identified churn risk, increased sales)
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