Jiahui Li
About Jiahui Li
Jiahui Li is a Data Scientist with a strong academic background in data science, finance, and computer science. He has held various roles in research and data analysis, including positions at Transamerica and Georgia State University.
Work at Transamerica
Jiahui Li currently serves as a Data Scientist at Transamerica, a position held since 2023. Prior to this role, Li worked as an Associate Data Scientist at the same company from 2021 to 2023. In these roles, Li has utilized advanced machine learning frameworks such as PyTorch and Scikit-Learn, and has applied cloud computing skills with Amazon Web Services (AWS) to enhance data science projects. Li's experience at Transamerica demonstrates a commitment to leveraging data analytics for business solutions.
Education and Expertise
Jiahui Li has a strong educational background in data science and finance. Li earned a Master of Science in Data Science and Analytics from Georgia State University - J. Mack Robinson College of Business, completing the program from 2019 to 2021. Additionally, Li is pursuing a Master of Science in Computer Science at the Georgia Institute of Technology, expected to be completed in 2024. Li also holds a Bachelor's degree in Quantitative Finance and Econometrics from The University of West Alabama, achieved between 2017 and 2019, and a Bachelor's degree in Finance from Guangdong University of Finance, completed from 2015 to 2017.
Background
Jiahui Li has a diverse professional background that includes roles in academia and the financial sector. Li worked as a Graduate Research Assistant at Georgia State University - J. Mack Robinson College of Business from 2019 to 2020 and as a Teaching Assistant at The University of West Alabama from 2018 to 2019. In the financial sector, Li gained experience as a Treasury Quantitative Analyst Intern at Regions Bank in 2019. This combination of academic and practical experience has contributed to Li's expertise in data science.
Technical Skills
Jiahui Li possesses a range of technical skills relevant to data science. Li leverages version control systems like Git for collaborative projects and employs containerization technology using Docker in data science workflows. Additionally, Li demonstrates strong proficiency in Linux, which is essential for data science applications. These skills enhance Li's ability to manage complex data projects and contribute effectively to team efforts.