Foodpanda Restaurant Performance EDA
Budget: ₹750 – ₹1,250 INR
I have a raw Foodpanda dataset and want to understand how each restaurant truly performs. Your task is to run a focused exploratory data analysis that zeroes in on sales and revenue figures for every restaurant in the file. I’m interested in trends such as top- and bottom-line growth over time, seasonality, outliers, and any correlations you uncover between order volume, average basket size, discounts, or other revenue-related metrics you choose to engineer.
Python, pandas, NumPy, and visualization libraries like Seaborn, Matplotlib, or Plotly are all welcome—as long as the code is clean, reproducible, and well-commented. Please avoid drifting into customer-review or delivery-time angles; the spotlight must stay on revenue-based performance.
When you apply, attach a concise yet detailed project proposal outlining your planned workflow, key questions you’ll probe, expected turnaround, and how you’ll present the insights.
Deliverables
• Fully annotated Jupyter notebook (or equivalent script) that cleans the data and walks through the EDA
• Clear visualisations and summary tables highlighting restaurant-level performance insights
• A short executive summary (PDF or slide deck) translating technical findings into business-ready takeaways
I will supply the dataset as soon as we agree to start, and I’m happy to answer clarifying questions along the way.
Python, pandas, NumPy, and visualization libraries like Seaborn, Matplotlib, or Plotly are all welcome—as long as the code is clean, reproducible, and well-commented. Please avoid drifting into customer-review or delivery-time angles; the spotlight must stay on revenue-based performance.
When you apply, attach a concise yet detailed project proposal outlining your planned workflow, key questions you’ll probe, expected turnaround, and how you’ll present the insights.
Deliverables
• Fully annotated Jupyter notebook (or equivalent script) that cleans the data and walks through the EDA
• Clear visualisations and summary tables highlighting restaurant-level performance insights
• A short executive summary (PDF or slide deck) translating technical findings into business-ready takeaways
I will supply the dataset as soon as we agree to start, and I’m happy to answer clarifying questions along the way.