Computer Science student with solid experience in software development, including advanced skills in C#, Python, and algorithm analysis. Passionate about creating innovative and high-quality solutions, seeking opportunities to apply expertise in software design, debugging, and agile practices. Proactive and consistently ready to adopt new technologies and methods to enhance product performance and functionality.
Led a research project focused on analyzing financial market behavior and chart patterns using advanced machine learning algorithms. Developed custom algorithms to identify complex patterns, enhancing predictive accuracy beyond traditional regression models and contributing to more informed financial analysis.