Xing Shen
About Xing Shen
Xing Shen is a Senior Analyst at Procure Analytics, recognized for developing a software tool that automates error report generation to enhance the Data Quality Audit process. With a strong educational background in Data Science and Industrial Engineering, he has extensive experience in data manipulation, machine learning, and project management.
Work at Procure Analytics
Xing Shen currently holds the position of Senior Analyst at Procure Analytics, a role he has occupied since 2021. In this capacity, he has developed a software tool that automates the generation of error reports, significantly streamlining the Data Quality Audit process. Prior to his current role, he served as an Analyst at the same company from 2019 to 2021, where he implemented SQL code for dataflows and utilized SQLAlchemy for various data manipulations on the cloud. His contributions have focused on enhancing data management and analysis capabilities within the organization.
Education and Expertise
Xing Shen earned a Master of Science in Data Science from Northwestern University, completing his studies from 2021 to 2022. He also holds a Bachelor of Science in Industrial and Systems Engineering from the Georgia Institute of Technology. His educational background provides a strong foundation in data analysis and engineering principles, which he applies in his professional roles. His expertise includes Natural Language Processing (NLP), SQL, and Python programming, particularly in the context of data management and machine learning.
Background
Before joining Procure Analytics, Xing Shen gained valuable experience through various internships. He worked as a Business Analyst Intern at NCR Corporation for seven months in 2018 and as an Industrial Engineer Intern at Yokogawa for three months in 2019. Additionally, he completed a two-month internship as an Engineer Intern at Techlong International in 2017. These roles provided him with practical insights into business analysis, engineering processes, and data management.
Achievements
Xing Shen has made significant contributions to data management and analysis through various projects. He developed an Auto Tool for Master Data Management, which automates the conversion and combination of files with varied templates into a single format. He also authored over 8000 lines of VBA code to automate data quality audits and conducted experiments on data warehouses and BI tools to help rebuild data architecture. Additionally, he created a Python Machine Learning script for clustering models aimed at optimizing facility locations.