---Recent Computer Science graduate with a solid foundation in data analysis, Python, and digital content creation. Experienced in working with data, problem-solving, and continuous learning. Seeking opportunities to grow and contribute to innovative and impactful project Project Description: This project focuses on developing a data analysis and visualization solution using Python. The main objective was to explore and extract meaningful insights from structured datasets by applying data processing techniques and analytical methods. The workflow began with data collection from available sources, followed by thorough data cleaning to handle missing values, inconsistencies, and irrelevant information. After preparing the dataset, various analytical approaches were applied to identify patterns, trends, and relationships within the data. The project utilized Python libraries such as Pandas for data manipulation and Matplotlib and Seaborn for data visualization. Different types of charts and graphs were created to present the results in a clear and interpretable manner. In addition, a simple dashboard-style interface was designed to organize and display the key findings effectively. This allowed for easier understanding of the data and supported better decision-making based on the analyzed results. Throughout the project, emphasis was placed on writing clean, structured code and following logical problem-solving approaches. This project demonstrates strong foundational skills in data analysis, data visualization, and programming, as well as the ability to transform raw data into actionable insights using modern tools and techniques.