Data Analysis Portfolio

This project delves into Swiggy's restaurant data, exploring various aspects and trends using Pandas and exploratory data analysis techniques.

This data science project aims to gather insights into various factors affecting restaurants

Zomato restaurant data analysis and Excel dashboard showing trends in cuisines, ratings, cost, delivery, and city-wise presence.

This project focuses on analyzing global restaurant data to uncover meaningful insights into customer preferences, pricing trends, and service availability. The dataset includes information such as restaurant names, locations, cuisines, ratings, price ranges, and services offered (e.g., online delivery, table booking).

Analyzing Zomato Bangalore restaurant data to uncover insights into the city's vibrant culinary scene. Explore trends in cuisine types, restaurant ratings, pricing, and more using data science techniques.

Exploratory Data Analysis of Zomato India Restaurants Dataset (200k+ records) — Insights on popularity, cuisine trends, price vs rating and service modes.

Pizza Sales Analysis Project: This project optimizes a pizza restaurant's operations by analyzing demand patterns, revenue, and efficiency, providing insights to enhance profitability, streamline production, and improve customer satisfaction.

This data science project aims to gather insights into various factors affecting restaurants

The goal of this analysis is to uncover actionable insights from a fast food restaurant's sales data to drive smarter business decisions. By analyzing item performance, peak sales times, and transaction patterns, the objective is to recommend strategies that increase revenue, optimize operations, and improve customer engagement.

"Data analysis of Bengaluru restaurant trends using the Zomato dataset – helps identify the best location, cuisine, and pricing strategy for a new restaurant."

Comprehensive business analytics project using Python and Tableau. Features include data visualization, interactive dashboards, and data-driven insights for restaurant performance and consumer behavior.

Created visualizations to track restaurant performance, table bookings, and customer ratings. Key insights: 15.47% table bookings, New Delhi led with 3,507 restaurants, and North Indian cuisine had 33.4% of reviews. Insights drove strategic decisions for Zomato’s expansion and engagement.