Daniel Cho

Daniel Cho

UX Design Intern @ Nabors Industries

About Daniel Cho

Daniel Cho is a UX Design Intern currently working at Nabors Industries and holds multiple roles in design and marketing at various organizations in Houston, Texas. He is pursuing dual Bachelor of Arts degrees in Cognitive Science and Business Management from Rice University.

Current Role at Nabors Industries

Daniel Cho serves as a UX Design Intern at Nabors Industries, a position he has held since 2022. In this role, he is involved in user experience design, contributing to projects that enhance the usability and accessibility of products. His work focuses on understanding user needs and applying design principles to improve overall user satisfaction.

Experience at Design for America

Since 2021, Daniel has been the Social Media Director for Design for America in Houston, Texas. In this capacity, he manages social media strategies and campaigns, aiming to increase engagement and awareness of design initiatives. His leadership in this role supports the organization's mission to address social challenges through design.

Educational Background at Rice University

Daniel Cho is pursuing a Bachelor of Arts degree in Cognitive Science and Business with a Concentration in Management at Rice University. He has been enrolled from 2020 to 2024, gaining a comprehensive understanding of both cognitive processes and business management principles. This dual focus equips him with a unique skill set applicable to various fields.

Previous Experience as Training Coordinator

In 2020, Daniel worked as a Training Coordinator at Every Shelter for a period of three months. His responsibilities included organizing training sessions and developing materials to enhance the skills of participants. This role contributed to his understanding of instructional design and program management.

Achievements in Data Science

Daniel has demonstrated his analytical skills by modeling a Kaggle dataset using Linear Regression and XGBRegressor techniques. He achieved notable recognition by placing 2nd out of 11 teams in Rice Data Science’s annual showcase competition. Additionally, he analyzed Airbnb listings in New York City to assess traffic flow variations based on descriptive language in reviews.

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