🔥 Python Case Study-Based Interview Q&A (Top 5 🔥)

📊 Q1. Sales Drop Analysis
Scenario: Sales dropped last month. How will you analyze?

👉 Check monthly trends using groupby()
👉 Compare MoM performance
👉 Identify drop by region/product
👉 Drill down to root cause

📊 Q2. Customer Segmentation

Scenario: Segment customers based on purchase behaviour

👉 Group by customer ID
👉 Calculate total spend / frequency
👉 Create segments (High, Medium, Low)
👉 Useful for business decisions

📊 Q3. Data Cleaning Case
Scenario: Dataset has missing values, duplicates, inconsistent formats

👉 Handle missing → fillna()/dropna()
👉 Remove duplicates → drop_duplicates()
👉 Standardize formats (dates, text)
👉 Ensure clean dataset before analysis

📊 Q4. Top Performing Products
Scenario: Find best-selling products

👉 groupby(product) + sum(sales)
👉 Sort descending
👉 Use head() for top results
👉 Can also analyze category-wise

📊 Q5. Conversion Rate Analysis
Scenario: Calculate conversion rate from visits to purchases

👉 Conversion Rate = purchases / total visits
👉 Aggregate data properly
👉 Analyze by channel/source
👉 Helps optimize marketing

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