Understanding the Risk Factors of Diabetes: This collaborative data analysis project uses real-world data to analyze insights on the risk factors of diabetes. The key question is whether there is significant correlation between lifestyle and biological factors in the diagnosis of diabetes. The connection of the variables were analyzed and evaluated using graphs and machine learning models. The results yielded a list of select key risk factors of diabetes while producing subpar prediction results.

Grace Lu is a future UX designer pursuing a degree in Information Science and Data Analytics. She is in her third year at San Jose State University and appreciates the environment for discovering new fascinations from various fields of knowledge. She is passionate about making a difference in healthcare and intends to apply what she learns in data analytics and human-centered design to the medical field. In her spare time, she finds joy in watching sunsets, playing piano, solving sudokus, and trying new ice creams. The beauty-appreciator in her hopes to make the world a better place through human centered user experience design.

Khyle Marcos: “Hello everyone! I’m currently going into my 4th year as an Information Science & Data Analytics major. My hobbies consist of traveling, walking, playing video games, and enjoying different types of food. As I discover the tech industry, I really hope to work in IT in a hospital, as I enjoy my time helping others, in addition to being on the technical side and making a positive impact.”

A third-year student at the San Jose State University iSchool, Thomas Tran is majoring in Information Science and Data Analytics.