Data Analysis & Visualization Project

A comprehensive data analysis project focused on extracting meaningful insights from structured datasets to support data-driven decision-making. The project involves data collection, cleaning, transformation, and visualization to identify trends, patterns, and correlations.

Key tasks include exploratory data analysis (EDA), statistical analysis, data visualization through interactive dashboards, and generating actionable reports. The project demonstrates strong analytical thinking, problem-solving skills, and proficiency in handling real-world datasets.

Tools and technologies used include Python (Pandas, NumPy), data visualization libraries, SQL for data querying, and dashboard tools for presenting insights clearly and effectively.