This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

This repository contains the code of Om Prakash Porfolio

In this project, I analyzed supermarket datasets to uncover branch-level sales patterns, regional trends, and promotion effectiveness. This analysis provided valuable insights that helped drive data-driven strategic decisions.

This repository contains a comprehensive SQL-based data analysis project on an e-commerce customer dataset. The project focuses on deriving key business insights by analyzing customer purchasing behavior, identifying valuable customer segments, and calculating crucial metrics like customer retention rate and purchase frequency.