Post #2707

🔢 16) How do you merge customer and orders dataframes on customer_id? 👉 Answer: # Keep all customers (even no orders) merged = pd.merge(customers, orders, on='customer_id', how='left') LEFT JOIN = Industry standard for customer analytics! 📉 17) What are 5 must-have KPIs for an e-commerce dashboard? 👉 Answer: 1. Revenue (vs target) 2. AOV 3. Conversion Rate 4. Cart Abandonment 5. Customer Acquisition Cost. Trend + Target + YoY always! ⚙️ 18) Your SQL query is running slow. How do you optimize? 👉 Answer: Top 5 fixes: 1. Indexes on WHERE/JOIN columns 2. EXPLAIN query plan 3. Avoid SELECT * 4. Limit subqueries 5. Aggregate at source. 🧠 19) Tell me about a time your data analysis failed. What happened? 👉 Answer: Situation: Dashboard showed wrong trends. Problem: Timezone mismatch in sales data. Fix: Added CONVERT_TZ() in SQL + data validation layer. Result: 100% accuracy, saved stakeholder trust. 💬 20) Do you have any questions for us? 👉 Answer: 1. What are the top 3 metrics leadership cares about? 2. What's your biggest data challenge? 3. How do you measure success in this role after 90 days? Double Tap ❤️ For More!