This repository contains various data-focused projects, categorized into two main areas: Artificial Intelligence and Data Analysis.
This project demonstrates the use of AI for semantic text search. A book is broken down into paragraph-level chunks, and each chunk is embedded using OpenAI's text embedding API. When a user submits a query, it is also embedded and compared to the chunk embeddings using cosine similarity to return the most relevant passages from the book.
This project analyzes the "Superstore" dataset (sourced from Kaggle), which contains sales and profitability data for a retail chain. It includes visual and statistical insights on product categories, regional performance, customer segments, and profitability trends, along with strategic recommendations.