Feifei Yu

Feifei Yu is a seasoned professional with over 6 years of experience in the data science and data consulting fields, possessing a robust understanding of various machine learning and deep learning algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, Random Forest, and Neural Networks.

Feifei Yu has showcased proficiency in open-source data mining tools like Numpy, Pandas, Scikit-learn, and Keras, along with a solid grasp of big data technologies within the Hadoop and Spark ecosystems, including Apache Pig, Hive, Spark Core, and MLlib.

With a strong foundation in cloud computing, particularly in Amazon Web Services (AWS CLI, S3, EC2, EMR), Feifei Yu has actively participated in data science competitions on Kaggle, achieving notable results including one top-1%, two top-2%, and one top-15% finishes.

Feifei Yu holds a Master of Science in Transportation from the Massachusetts Institute of Technology (MIT) and a Bachelor of Science in Transportation Engineering from Southeast University. Throughout professional engagements at Medely, Uber, IHS, Inc., and MIT, Feifei Yu has demonstrated leadership as Head of Data, Applied Science Manager II, Senior Applied Scientist, Tech Lead, Consultant, Research Associate, and Graduate Research Assistant.

Dedicated to continuous learning, Feifei Yu actively engages with MOOCs on platforms like Coursera and Edx, and shares insights and projects on GitHub at https://github.com/ffyu.