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Tailoring learning materials and activities to the learners is crucial for enhancing their engagement and interest. With a student-centered approach and iterative design, we developed a new interest-driven API-based data science curriculum for high school students. We revised our pilot curriculum based on feedback from our pilot teacher, student performance and course evaluations, and class observations. Key modifications included incorporating real-world examples of data science applications, expanding coding activities, and redefining class discussions to improve student involvement. Here, we summarize some of these changes made to support the development of data scientist identities and increased student engagement. This work highlights the significance of research-practice partnerships and recommends leveraging feedback from both educators and students to enhance curriculum delivery in K-12 settings. It contributes to the evolving field of data science education in K-12 classrooms and emphasizes the value of collaborative curriculum development based on practical classroom experience and feedback.