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Class of 2021

Photo of Jiong Radella Li

Jiong graduated from Wake Forest University with a double major in Mathematics and Computer Science and a minor in Music. During her years at Wake, Jiong worked at Wake Forest Math Center to tutor various math courses. Jiong was also the TA for Multivariable Calculus when she went to Sichuan University for summer school. Both experiences deepened Jiong’s understanding of advanced mathematical knowledge, enabled her to express ideas concisely and effectively, and let her become more rigorous and patient when communicating with others.

Jiong’s initial interest in data analysis was ignited when she took the course of Intro to Statistical Learning. Jiong was greatly appealed by the charm of data analysis after she turned raw data into a story. Driven by her keen interest and aspiration of being a great data scientist, Jiong took many Statistics courses and participated in various projects. Combining her interest in data analysis and affection towards music, Jiong did a music analysis with dataset found in Kaggle. By implementing Support Vector Machine (SVM), Ensemble Learning and Random Forest, Jiong built two models for both prediction and interpretation. As a result, Jiong presented the class the common traits of the songs that a target user liked and whether the user would like a new song. She also incorporated her knowledge of Applied Bayesian Statistics and Database to forecast the future prices of cryptocurrencies. Additionally, Jiong participated in DataFest, a statistics and data science competition hosted by the American Statistical Association among colleges, in her junior and senior year. Jiong enjoyed working in a team where people provided different ideas to solve the problems and helped out when others get stuck. 

In addition to academic experiences, Jiong also dived into internships to solve real-world problems. Last summer, Jiong spent two months working as a data scientist intern at a government institution in Hangzhou, China. Her project aimed to analyze government data to solve the problem of loan difficulty for small enterprises. The research group used SQL and R to process and analyze the data from the government database to decide whether to grant loans to small businesses. This internship endowed Jiong with practical experience in data cleaning, data masking, and data analysis. Most importantly, it deepened her insights into data science and made her realize how powerful data science could be in solving real-world problems.

Jiong is excited to become a part of MSiA cohort. She is ready to continue pursuing her interests in data science and let her data tell a story. Jiong is looking forward to working on industry projects and help companies solve complex problems.