Carrie (Caimei) Lu
About Carrie (Caimei) Lu
Carrie (Caimei) Lu is a Data Analytics Manager at Safety National, where she has worked since 2018. She has a strong background in data mining and algorithm development, with published research in top journals and extensive experience in handling large datasets.
Work at Safety National
Carrie Lu has been serving as the Data Analytics Manager at Safety National since 2018. In this role, she focuses on leveraging data analytics to solve complex business challenges. Her work involves designing and developing innovative algorithms that enhance decision-making processes within the organization. Based in the Greater St. Louis Area, she has contributed to the company's analytics capabilities for over six years.
Education and Expertise
Carrie Lu holds a Ph.D. in Information Science from Drexel University, where she also completed her studies in the field. She earned her Bachelor's degree in Management Information Systems from Lanzhou University. Additionally, she obtained a Master's degree in Information Science from Nankai University. Her educational background equips her with a strong foundation in data analytics and information management.
Background
Before joining Safety National, Carrie Lu worked in various roles that enhanced her expertise in data analytics. She served as a Data Mining Scientist at Maritz from 2011 to 2014, followed by a position as Director of Text Analytics at evolve24 from 2014 to 2016. She then worked as a Data Scientist at The Climate Corporation from 2016 to 2018. Earlier in her career, she was a Research Assistant at Drexel University from 2006 to 2011.
Achievements in Data Mining
Carrie Lu has published work in top peer-reviewed journals and conferences in the field of data mining. Her research contributions reflect her extensive experience and knowledge in handling and analyzing large-scale, imperfect datasets from diverse sources. This work has established her as a knowledgeable figure in the data analytics community.
Technical Skills
Carrie Lu is proficient in multiple programming languages, including Java, Python, R, and SQL. These skills enable her to effectively analyze data and develop algorithms that address complex business problems. Her technical expertise supports her role in data analytics and enhances her contributions to Safety National.