Yutaro Ikeda

Yutaro Ikeda has three years of professional experience in the software engineering, data science, and application engineering fields. Yutaro began their career in 2015 as an Engineer at LIFULL. In 2018, they moved to KaizenPlatform as a Data Scientist and Application Engineer. Most recently, in 2020, they joined dotData | Accelerate Data Science as a Software Engineer.

Yutaro Ikeda obtained an Engineer's degree in Management Science from the University of Tsukuba between 2009 and 2015. Since then, they have obtained numerous certifications from Coursera and the University of Tokyo, including Hadoop Platform and Application Framework, Big Data Analysis with Scala and Spark, Matrix Factorization and Advanced Techniques, Recommender Systems: Evaluation and Metrics, Introduction to Recommender Systems: Non-Personalized and Content-Based (with Honors), Bayesian Methods for Machine Learning, How to Win a Data Science Competition: Learn from Top Kagglers, Data Structures, Algorithmic Toolbox, Completion of DL4US, Sequence Models, Structuring Machine Learning Projects, Neural Networks and Deep Learning, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Machine Learning, and Deep Learning Specialization.