Pandas and SQL Dataset Work | Dataford Interview Questions

How would you work with a dataset in Pandas and also in SQL?

Using the supplied customer and order data, produce the SQL result below. Include qualifying orders from Q1 2025 and retain customers with no qualifying orders. The same logic should be reproducible in Pandas.

Output

One row per customer with customer_id, customer_name, region, completed_orders, total_completed_amount, last_completed_date, activity_level, and region_rank.
Include only orders with status completed dated from 2025-01-01 through 2025-03-31.
Classify customers as No activity, High, or Standard; rank customers within each region by total amount, with ties sharing a rank.
Order by region, region_rank, then customer_id.

Schema

customers

Column	Type	Description
customer_idPK	INT	Unique customer identifier
customer_name	VARCHAR(100)	Customer display name
region	VARCHAR(50)	Customer sales region

orders

Column	Type	Description
order_idPK	INT	Unique order identifier
customer_id	INT	Customer associated with the order
order_date	DATE	Date the order was placed
status	VARCHAR(20)	Order processing status
amount	NUMERIC(10,2)	Order amount

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Problem