Feifei Peng
About Feifei Peng
Feifei Peng is a data scientist with extensive experience in machine learning, currently serving as a Senior Data Scientist at Sky in London. She has a strong academic background with degrees in Computer Science and has worked in various research and industry roles across China, Germany, and the United Kingdom.
Current Role at notonthehighstreet
Feifei Peng has been working as a Data Scientist at notonthehighstreet.com since 2018. In this role, she applies her expertise in data analysis and machine learning to enhance the company's data-driven decision-making processes. Her work focuses on improving content discovery and user experience through advanced data techniques.
Previous Experience at Sky
Before her current role at notonthehighstreet.com, Feifei Peng worked at Sky as a Data Scientist from 2019 to 2021. She then advanced to the position of Senior Data Scientist in 2021, where she has continued to develop her skills in predictive modeling and recommendation systems. Her experience at Sky contributed to her understanding of large-scale data applications in the media industry.
Educational Background in Computer Science
Feifei Peng earned her Bachelor of Engineering in Computer Science and Technology from China Agricultural University, studying from 2009 to 2013. She furthered her education at the University of Chinese Academy of Sciences, where she obtained a Master of Computer Science from 2013 to 2016. Her academic background laid the foundation for her career in data science and machine learning.
Research Experience in Machine Learning
Feifei Peng has a diverse research background that includes roles as a Research Assistant at the Institute of Software, Chinese Academy of Sciences, and as a Graduate Student Researcher at Heidelberg University. Her research has focused on machine learning applications, particularly in natural language processing and deep learning, contributing to her expertise in developing recommendation systems.
Expertise in Natural Language Processing
Feifei Peng possesses significant experience in natural language processing within the tech industry. Her work involves leveraging machine learning techniques to improve content discovery, showcasing her ability to handle complex data challenges. This expertise is complemented by her academic research in deep learning and natural language processing.