Projects in Awesome Lists by Yeshunit
A curated list of projects in awesome lists by Yeshunit .
https://github.com/yeshunit/walmart-product-customer-sales-sql-analysis
This project aims to explore the Walmart Sales data to understand top performing branches and products, sales trend of of different products, customer behaviour. The aims is to study how sales strategies can be improved and optimized. The dataset was obtained from the Kaggle
data database mysql sql walmart
Last synced: 24 Feb 2026
https://github.com/yeshunit/meesho-userpulse
The Personalized Discovery and Engagement Enhancement System for Meesho leverages user interactions, search behaviors, and product analytics to deliver customized shopping experiences. By monitoring KPIs like voice search adoption and trending products, the system aims to boost user engagement and retention in the competitive e-commerce market.
Last synced: 10 Mar 2026
https://github.com/yeshunit/store-excel-analysis
This repository contains the analysis of sales data from Vrinda Store, including detailed order information, sales channels, customer demographics, and more.
Last synced: 07 Mar 2026
https://github.com/yeshunit/pizza-sales-analysis
This project involves analyzing pizza sales data to gain insights into sales patterns, popular pizza types, and revenue trends. The analysis was conducted using SQL, leveraging various queries to process and interpret the data.
Last synced: 21 Feb 2026
https://github.com/yeshunit/hr-analytics-on-attrition
This project aims to analyze employee attrition using Power BI to provide HR insights into the factors contributing to employees leaving the company. The analysis includes data cleaning, visualization, and dashboard creation to display key metrics and trends. By understanding these factors, HR can implement strategies to improve employee retention.
Last synced: 11 Mar 2026
https://github.com/yeshunit/hotel-bookings-cancellation-analysis
This project analyzes hotel booking cancellations using Excel. It includes data cleaning, creating new columns, and an interactive dashboard to visualize cancellations by hotel type, guest type, and monthly trends.
Last synced: 05 Mar 2026