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food-industry

Here are 17 public repositories matching this topic...

This project explores and analyzes food industry data to uncover sales trends, customer preferences, and market insights. Using data cleaning, visualization, and exploratory data analysis (EDA), it helps businesses make informed decisions, optimize strategies, and improve overall performance in the competitive food sector.

  • Updated Apr 3, 2025
  • Jupyter Notebook

Performed exploratory data analysis on Bangalore Zomato’s restaurant dataset using Python, Pandas, and Matplotlib to uncover dining trends across major Indian cities. Cleaned and transformed raw data to extract insights. Visualized patterns in customer preferences and location-based popularity to support strategic decision-making of food service

  • Updated Jan 23, 2026
  • Jupyter Notebook

A project aimed at forecasting food demand using historical sales data and external factors. By applying machine learning models, this project helps optimize inventory management and minimize food waste, with visualizations provided in Tableau.

  • Updated Sep 20, 2024

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