Hokuto-Daniel Sato

WORK HISTORY

EDUCATION

ABOUT HOKUTO-DANIEL SATO

I’m a Computer Science and Business student at the University of California, Riverside with a strong interest in data science and data-driven decision-making. I’m particularly interested in how data can be used to uncover insights, solve real-world problems, and support strategic business decisions. Through my coursework and personal projects, I’ve developed experience working with Python for data pipelines and analysis, SQL for database development and querying, and TensorFlow for building sequence-based neural networks. These experiences have allowed me to transform raw data into meaningful insights using tools such as pandas, Matplotlib, and other analytical libraries. I’m actively involved in on-campus organizations such as AIS and ACM, where I continue to strengthen my technical skills, attend workshops, and connect with others who share an interest in technology and data. I’m currently focused on expanding my skills in data science and analytics, and I’m always looking for opportunities to apply what I’ve learned in practical settings. I’m especially interested in roles where I can combine machine learning techniques with business insight to create impactful, data-driven solutions.