Qifu Yin

Qifu Yin has four years of work experience. In 2020, they worked as a Data Science Engineer for Thasos. In 2019, they were a Data Science Intern for NYC Citywide Administrative Services and a Data Analytics Project Intern for WW (formerly Weight Watchers). In 2018, they were a Modeling Engineer Intern for Business Big Data (BBD), where they focused on building a classifier model to predict whether a company would launder money, based on data on its law cases history, ownership structure, financial condition, etc. Qifu applied NLP topic modeling and text summary techniques, wrote SQL to extract and calculate the indicators from an in-house database, and used Python's Pandas library and scikit-learn library to run a logistic model on indicators, achieving 81.1% precision rate and 0.

Qifu Yin's education history includes a Master of Science in Business Analytics from Columbia University from 2018 to 2020, and a Bachelor's degree in Economics, Computer Science, and Mathematics from Brandeis University from 2014 to 2018. Additionally, Yin has obtained certifications from Udemy and Coursera in topics such as Tableau 10 A-Z, A/B Testing and Experimentation, Building Resilient Streaming Systems on Google Cloud Platform, Data Engineering, Big Data, and Machine Learning on GCP, Serverless Machine Learning with Tensorflow on Google Cloud Platform, Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform, Serverless Data Analysis with Google BigQuery and Cloud Dataflow, Google Cloud Platform Big Data and Machine Learning Fundamentals, Business Metrics for Data-Driven Companies, Python Data Structures, and Using Databases with Python.