Hi! I'm Maksym Syagrovskyy, a second-year Computer Science student at the University of Toronto with hands-on experience in building data-driven systems and applications.
Building practical ML applications to solve real-world problems
Experienced in designing and implementing robust backend systems and APIs
Implementing data analysis systems for financial market insights
Creating interactive dashboards that transform complex data into clear insights
While pursuing my degree, I've developed a passion for solving complex problems through code. From implementing machine learning algorithms and building robust backend systems to creating data visualization tools, this portfolio showcases my projects across various fields. I continue to explore new technologies and enhance my skills in machine learning, finance, backend development, and data visualization.
Program that creates short-form content from long-form videos using machine learning
A comprehensive tool for managing personal and business expenses
Streamlined trade execution platform for efficient market operations
Comprehensive data aggregation tool for optimal decision-making in dynamic markets
Tool for optimizing course selection based on interests and graduation timeline
Real-time TTC bus tracking and transit news for efficient commuting