Ivan Gridin is a Mathematician, Fullstack Developer, Data Scientist, and Machine Learning Expert living in Moscow, Russia. Over the years, he worked on distributive high-load systems and implemented different machine learning approaches in practice. One of the key areas of his research is the design and analysis of predictive time series models.
Ivan has fundamental math skills in probability theory, random process theory, time series analysis, machine learning, deep learning, and optimization. He also has in-depth knowledge and understanding of various programming languages such as Java, Python, PHP and MATLAB. Loving father, husband, and collector of old math books.
LinkedIn Profile: Ivan Gridin