At WorldQuant University, I'm advancing from applied Machine Learning into Deep Learning through project-based work with real-world datasets. I’ve developed models for regression, multi-class and image classification, and time-series analysis, including a project predicting corporate bankruptcies in Poland and Taiwan using financial data.
At Eikei University of Hiroshima, I supported students across data science and technology courses, analyzed educational data, and created visualizations to support course improvement discussions. I also coordinated a university hydroponics research project, from experimental design through evaluation and presentation, and received recognition from Hiroshima Satake Corporation.
I like self-studying and designing my own skills. My projects have also included contributing to a digital transformation and regional well-being project with Eclect, Inc., and producing a short educational film about endangered species protection.

