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Pro93 ProblemsSQL + Python

Food Delivery SQL & Python Interview Questions

Food delivery platforms optimize restaurant performance, courier routing, and order fulfillment at scale. These SQL and Python challenges are modeled after work at DoorDash, Uber Eats, Grubhub, Instacart, Deliveroo, Gopuff, Swiggy, Zomato, Just Eat, HelloFresh, and more. Master preparation time analysis, delivery SLA metrics, customer retention, restaurant ranking, and courier efficiency KPIs.

Food Delivery

93 total problems

SQL47
Python46
Companies working in Food Delivery

These practice problems are modeled after the kind of data and analytics challenges teams in this industry typically face.

DoorDash
DoorDash
Uber Eats
Uber Eats
Instacart
Instacart
Grubhub
Grubhub
Deliveroo
Deliveroo
Gopuff
Gopuff
Getir
Getir
Just Eat
Just Eat
Swiggy
Swiggy
Zomato
Zomato
Meituan
Meituan
Amazon Fresh
Amazon Fresh
Olo
Olo
Toast
Toast
HelloFresh
HelloFresh
Rappi
Rappi
Glovo
Glovo
Gorillas
Gorillas
REEF Technology
REEF Technology

Company names and logos are trademarks of their respective owners, used here only to describe the kind of data these companies work with. Let's Data Science is not affiliated with, endorsed by, or sponsored by any company shown. Practice problems are original works and are not real interview questions from these companies. Rights & takedowns.

Difficulty Breakdown

93 problems
16 Easy(17%)
31 Medium(33%)
42 Hard(45%)
4 Expert(4%)

What You'll Practice

Delivery time analysisRestaurant performance metricsCourier efficiencyOrder funnel optimizationCustomer retention analysisCohort analyticsPricing strategy metricsMarket density analysis

Topics Covered

22 topics
SQL · 9
aggregationbasic queries filteringcleaning transformdate timejoinsscenario sqlset operationssubqueries cteswindow functions
Python · 13
eda statisticsfeature engineeringhypothesis testingpandas aggregationpandas applypandas basicspandas cleaningpandas datetimepandas filteringpandas mergingpandas reshapingpandas scenariopandas window

All Problems93 total

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93 SQL and Python challenges built from real food delivery data. Graded instantly in your browser — no setup required.