ReSci
Bingjie Z. has a strong background in data analysis and machine learning. They started their career at TWO NIL as a Marketing Analyst in September 2015. They then moved on to Bridg in April 2016, where they worked as a Data Analyst until August 2017, and later as a Data Scientist from September 2017 to March 2019. In 2019, Bingjie joined ReSci as a Data Scientist and eventually became a Senior Machine Learning Engineer in April 2021, where they currently work.
Bingjie Z. obtained a Bachelor's degree in Mathematical Economics and Mathematical Finance from the Central University of Finance and Economics in 2011. From 2011 to 2014, Bingjie attended the University of Wisconsin-Madison, where they earned a Bachelor of Science (B.S.) degree in Mathematics and Statistics. In 2014, Bingjie enrolled in the University of Illinois Urbana-Champaign, where they completed a Master of Science (M.S.) degree in Statistics in 2015.
In terms of additional certifications, Bingjie obtained the SAS Base Programming for SAS 9 certification from the SAS Institute in September 2014. Additionally, Bingjie completed a series of courses on recommender systems through Coursera, including "Introduction to Recommender Systems: Non-Personalized and Content-Based," "Matrix Factorization and Advanced Techniques," "Nearest Neighbor Collaborative Filtering," and "Recommender Systems: Evaluation and Metrics" in May 2018. Bingjie also pursued the Deep Learning Specialization from deeplearning.ai, although the specific completion month and year are not provided.
ReSci
Retention Science is the best way to target, engage and retain your customers. Their data-driven, SaaS-based Retention Marketing platform predicts customer behavior and delivers targeted multi-channel communications that increase revenue and encourage customer advocacy.