Close Menu

Data Science Alumni Spotlight: Meet Guoxuan

Avatar

Guoxuan Hao

Data Science Engineer, Art Brand Studios, Morgan Hill, California
Graduation Year: 2017

Guoxuan Hao recommends the Illinois Tech Data Science Program because of the opportunities available for intelligent students without strong backgrounds in data science or analytics to become top data scientists or data engineers. In his experience, the program is excellent for people who want to “change their career and to grow their skills and knowledge literally from scratch.” The program provides an excellent starting point with all the necessary knowledge for entry into the growing field of data science.

Hao received a Bachelor of Science in Electrical Engineering from Huazhong University of Science and Technology in China, and then worked for SAP as a Business Intelligence Specialist for three years before joining the Illinois Tech Master of Data Science Program in January 2015. He currently works as a data science engineer at Art Brand Studios in California, where he is responsible for developing middleware to integrate several applications containing data about his employer’s products across multiple platforms.

Hao commented, “The curriculum was rigorous and well designed. I was able to build up my foundation of knowledge from entry level courses to high level courses.” He appreciated that the program provided every aspect he needed to increase his knowledge in this area. “Professors [were] always helpful to give me advice and direction. I enjoyed discussing theories with them. I truly like the TAs as well; they are extremely helpful for gaining a deep understanding of knowledge.” Hao commented specifically on the assistance he received from Program Director Shlomo Argamon and Associate Director Lulu Kang in helping him with his studies and guiding him on the proper career path. Their mentorship afforded him the opportunity to work with CCC Information Services during his practicum, gave him ample instruction on statistics and analytics, and provided strong references that helped him to land his current position. 

« Return to Data Science Alumni Spotlight