Data Analysis

This section focuses on understanding data before modeling it.

The projects here emphasize data cleaning, exploration, visualization, and extracting meaningful insights that drive decisions. Rather than jumping directly into machine learning, the goal is to analyze patterns, trends, and relationships within data to understand the underlying problem.

This folder represents my belief that strong AI and ML systems start with solid data understanding and analytical thinking.