People / Students / Class of 2024
Wen-Chi (Chloe) Lee is a data scientist and a full stack engineer with a passion for applying artificial intelligence and machine learning to real-world problems. She holds a bachelor’s degree in Data Science with a domain emphasis in Applied Mathematics from University of California, Berkeley, where she graduated in Distinction with General Scholarship. She also has more than two years of industry experience working at Micron Technology, one of the world’s leading semiconductor companies. Wen-Chi’s academic interests include data structures, database systems, probability, data mining and analytics. She is proficient in programming languages such as Python, Java, HTML, SQL, CSS, and MATLAB. Her undergraduate research project, Data-Enabled Donation, aimed to help those traumatized by the 2018 California wildfires by collecting data from goFundMe and creating a donation platform to indicate which shelters needed more supplies. Wen-Chi joined Micron Technology as a full-time data scientist in the Smart Manufacturing and Artificial Intelligence Department soon after she graduated from UC Berkeley. She worked on data centric projects that would improve yield, reduce cycle time, and optimize business processes. Her area of work covered extensively data analytics, data management, cloud computing, and data visualization. She received several recognitions such as the excellent execution award and top-notch teamwork award for her outstanding performance and contribution to leading and collaborating on various projects that involve ML algorithms, back- and front-end support, PySpark for data preprocessing, and Angular for User Interface. Additionally, she helped supplier vendors identify their drift performance root causes by pinpointing the problematic substance and stabilizing the parameter behavior. Within 7 months, she was promoted to a level-2 position to lead in projects and mentor peer progress. By the end of the first year at Micron, she became a full stack engineer with high proficiency in employing ML algorithms. With her work experience in the semiconductor industry, Wen-Chi aims specifically to delve into wider applications of AI modeling and ML algorithms to reduce costs resulting from repetitive labor and further utilize the costs for sustainable improvements. She also hopes to sustainably increase yield and improve the efficiency and safety of workers who had to take part in hazardous labor activities. To achieve this goal, she is moving on to pursue her graduate work in machine learning and data science at Northwestern. She believes that the curriculum will help hone her analytical skills ranging from data prediction to data optimization and simulation from a broader business aspect. She is excited to join the MSMLDS program and can’t wait to learn from the faculty and peers.
