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This repository showcases my capstone projects, featuring four distinct initiatives that demonstrate my analytical and problem-solving skills. Each project reflects a comprehensive approach to research and execution, addressing unique challenges across various domains. I plan to expand this collection with additional projects in the coming days.
Zomato Data Visualization with Streamlit.The project include visualization of 9000+ data with 7 functional tools to visualize dataset .Streamlit Framework is combined with data visualization tools like Pandas, Plotly , Altair, Pydeck etc. to provide a dynamic interface to analyze data.
This application is built to scrap the data of Zomato's registerd restraunts, hotels of a particular city and gives a CSV file on the basis (recently orders) from the buisnesses, to analyse the competitors. You can also scrap the data (dishes and their orders with price) of top (any feasible digit) from the CSV you scrapped that first. 🍔
This project is about worldwide Zomato Market and its services availability among different countries. In this Excel Project, I have used excel features to create this interactive dashboard. In this I have shown the connection of Zomato from the whole world and its overall ratings from the whole 15 countries.
This repository contains an Exploratory Data Analysis (EDA) on the Zomato dataset, which contains information about restaurants, their ratings, and customer reviews in India. The dataset was obtained from Kaggle and contains data from various cities in India.
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
This Project focuses on Customers and Company, you have to analyze the sentiments of the reviews given by the customer in the data and made some useful conclusion in the form of Visualizations. Also, cluster the zomato restaurants into different segments. The data is visualized as it becomes easy to analyse data at instant.
This repository provides an in-depth analysis of Zomato’s restaurant ecosystem, utilizing three key datasets: orders, customers, and restaurants. Through this analysis, we aim to uncover valuable insights into consumer behavior, restaurant performance, and industry trends within the food service sector.