Yordan Radev
About Yordan Radev
Yordan Radev is a Junior Data Scientist at the Government of Canada, where he has worked since 2019. He has a background in Physics and Computer Science from McGill University and has developed various data-driven projects utilizing SQL, Python, and web development technologies.
Work at Government of Canada
Yordan Radev has been employed as a Junior Data Scientist at the Government of Canada since 2019. In this role, he has contributed to various data-driven projects, leveraging his skills in data science and programming. His work involves integrating SQL and Python frameworks, which are essential for data analysis and visualization tasks. Radev operates from Montreal, Quebec, where he applies his expertise to support governmental initiatives.
Education and Expertise
Yordan Radev completed his education at Vanier College, earning a Diploma of College Studies (DEC) in Pure and Applied Sciences from 2013 to 2016. He furthered his studies at McGill University, where he achieved a Joined Major in Physics and Computer Science from 2016 to 2020. Radev has also developed self-taught skills in web development technologies, including Vue, Openlayers, and Plotly, enhancing his ability to contribute to projects for the Canadian Government.
Technical Skills and Projects
Radev has demonstrated proficiency in various technical skills relevant to data science and web development. He has utilized data visualization libraries such as Matplotlib and Xarray to support project objectives. Notably, he developed a Single Page Application (SPA) for the VFSP-WAS Demo, which featured a Python backend and showcased daily graphics for the World Health Organization. His experience includes managing and deploying web applications in remote work environments using Linux through SSH.
Background
Yordan Radev's background includes a strong foundation in both the sciences and computer programming. His education in Pure and Applied Sciences and his major in Physics and Computer Science provide him with a robust understanding of analytical and computational methods. This background supports his current role in data science, where he applies his knowledge to real-world challenges within the Government of Canada.