Maximize Your Restaurant's ROI with Data-Driven Location Analysis

Maximize Your Restaurant's ROI with Data-Driven Location AnalysisMaximize Your Restaurant's ROI with Data-Driven Location Analysis

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Syed Faaris Razi

• Apr 23

📍 Problem: Opening a restaurant/business with no location profiling risks poor visibility, high competition, and low ROI.

🚀 Solution & Outcome: Used data-driven analysis (crime rates, venue types, proximity to downtown, competitors) and K-means clustering to reveal Winnipeg neighborhoods with the highest potential — helping clients choose optimal launch areas with confidence.:

🛠 Tools Used: Python; Geocoder (arcGIS), Pandas, Folium, Plotly, Sklearn, Foursquare API

Completed work

Data Science Web Scraping Data Visualization Jupyter Python

Alex K

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Branding design and Framer Development for an AI real estate tool See full Case study

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Masood Ahmad

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amazing work!🚀

Scott DS Young

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Currently exploring a book design focused on making complex information easier to understand through visual language. Playing with typography, data visualization, and graphic systems to give the subject a more editorial feel.

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David Argemí

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This is a trully elegant and impressive design concept.

I love it.

Maxime M.

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