Zexi Li

Zexi (Iris) Li is a highly skilled data scientist with extensive experience in quantitative analysis and methodology development. Currently, as a Senior Data Scientist at Nielsen, Zexi specializes in audience deduplication across multiple platforms utilizing Python, Pyspark, and Tensorflow, while also optimizing Spark applications for improved performance and cost efficiency in AWS. Prior experience includes roles at Bank of America as a Quantitative Management Associate, where Zexi enhanced a gradient boosting algorithm for marketing decisions and assessed credit loss impacts for regulatory purposes. Additionally, Zexi has held analytical positions at Bank of America Merrill Lynch and Belvedere Trading, LLC, focusing on data analysis and trading strategies. Educational qualifications include a Bachelor of Science in Applied Mathematics from Peking University, a Master of Science in Financial Mathematics from the University of Chicago, and currently pursuing a Master of Science in Computer Science at the Georgia Institute of Technology.