Business problem
Why this project matters
Performed end-to-end exploratory analysis of food-delivery orders to uncover customer behavior, restaurant performance, cuisine demand, ratings, delivery patterns, and revenue opportunities.
Project scope
What the work covered
01Assess data quality and descriptive statistics
02Analyze order, cuisine, restaurant, rating, cost, and time distributions
03Compare weekday and weekend behavior
04Identify high-demand segments and operational patterns
05Translate findings into actionable recommendations
Workflow
From question to evidence
Business problem
→
Data preparation
→
EDA / feature work
→
Model or analysis
→
Evaluation
→
Business conclusion
Analysis dashboard
Portfolio evidence areas
These bars summarize the emphasis of the completed work; detailed numeric outputs and full notebook cells remain available in the linked repository and HTML report.
Notebook evidence
Selected analysis and report visuals
Notebook / HTML report snapshot 1
Notebook / HTML report snapshot 2
Notebook / HTML report snapshot 3
Notebook / HTML report snapshot 4
Notebook / HTML report snapshot 5
Notebook / HTML report snapshot 6
Images are loaded from the public project repository so the portfolio stays synchronized with the published notebook/report assets.
Conclusions
What the analysis demonstrated
Demand, ratings, and order values vary meaningfully across cuisines and restaurants.
Delivery and preparation time should be analyzed separately to target operational improvements.
EDA creates an evidence base for promotions, restaurant partnerships, and service-quality decisions.
GitHub README preview
Repository at a glance
foodhub-data-analysis
Exploratory analysis of food-delivery orders, customer behavior, restaurant performance, and operational insights.
Next step
Discuss a similar project
Use the project inquiry form with FoodHub preselected. Include the business objective, available data, timeline, and desired output.