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FoodTechDelivery AnalyticsPower BIPython

Swiggy Analytics

Food Delivery Platform Analytics

FoodTech analytics project transforming raw Swiggy restaurant data into business decisions. Python EDA, SQL analytical logic, and a 4-page Power BI dashboard answering: does higher pricing lead to better ratings? How critical is delivery speed to satisfaction? Which cities and cuisines perform best operationally?

Type
Analytics / BI
Category
Analytics & BI
Year
2025
Stack
Python · SQL
Swiggy Analytics
At a Glance
4-page
Power BI dashboard
City
Level analysis
Cuisine
Performance breakdown
Rating
vs speed analysis
What's Built

Key features & capabilities.

01

Delivery speed vs customer rating correlation — speed matters more than pricing

02

City-level operational performance variance analysis

03

High-quality but under-discovered restaurant identification

04

Cuisine performance comparison: popularity vs customer experience

05

Price band and delivery speed feature engineering

06

Executive Overview, Customer & Pricing, Delivery & Ops, Restaurant Strategy pages

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