Xiaosu Q.

Xiaosu Q.'s work experience begins in 2016 with an internship at Accenture as an Operations Consulting Intern. During this time, they developed predictive models, extracted and cleaned data, and built regression models. In 2018, Xiaosu worked as a Quantitative Analyst Intern at Shenwan Hongyuan Securities Co., Ltd, Research Division, where they built valuation multi-factor models and automated databases. In 2019, Xiaosu held multiple roles, including a Data Scientist Intern position at Beacon Data, Inc., where they developed a customer service chat-bot and designed metrics for testing. They also worked as a Course Assistant at Columbia University in the City of New York, assisting with graduate core course lessons and instructing students. Currently, Xiaosu is a Machine Learning Engineer at Flowcode, where they utilize their skills in machine learning and data science.

Xiaosu Q. pursued a Master of Science degree in Business Analytics from Columbia University's Columbia Business School, from 2018 to 2019. Prior to that, Xiaosu obtained a Bachelor's degree in Finance, specializing in Applied Mathematics, from Nanjing University, which was completed from 2014 to 2018. Additionally, Xiaosu completed a Global Study Program in Applied Mathematics at the University of California, Davis in 2017.

Xiaosu also obtained several certifications, including "Neural Networks and Deep Learning" from Coursera in October 2019, "Python Data Structures" from Coursera in April 2018, "Introduction to Data Science in Python" from Coursera in January 2018, and "Programming for Everybody (Getting Started with Python)" from Coursera in January 2018.