Qianqing (Katie) Tang
About Qianqing (Katie) Tang
Qianqing (Katie) Tang is a Senior Data Scientist at Procter & Gamble, with a background in data analytics and mathematics from Northwestern University and Rensselaer Polytechnic Institute.
Title: Senior Data Scientist
Katie Tang currently holds the position of Senior Data Scientist at Procter & Gamble. Since 2023, she has been fulfilling her role on-site in Boston, Massachusetts. Her responsibilities likely include applying data science methodologies to drive business insights and solutions within the company.
Work Experience at Procter & Gamble
Katie Tang has an extensive history with Procter & Gamble. Prior to her current role, she worked as a Resilience Data Scientist from 2020 to 2023 in the Greater Boston Area. Her role involved leveraging data science to enhance the company's resilience strategies and operations.
UPS Employment
In 2019, Katie Tang completed a 3-month internship as an Analytics/Machine Learning Engineering Intern at UPS in the Greater Atlanta Area. Before that, she served as an Analytics Consultant for 9 months from 2018 to 2019, where she contributed to various analytical projects and initiatives.
Educational Background in Data Analytics and Mathematics
Katie Tang achieved a Master of Science in Data Analytics from Northwestern University, where she studied from 2018 to 2019. Additionally, she earned a Bachelor of Science in Mathematics from Rensselaer Polytechnic Institute, completing her degree between 2015 and 2018. She also studied Mathematics at Boston College for a year from 2014 to 2015.
Early Career and Internships
Katie Tang began her career in data science and analytics with multiple internships and research roles. In 2017, she was a Research Team Member for the NHANES Project: Risk Analysis for Precision Medicine, and earlier interned as a Data Analyst at mProbe Inc. She also worked as a Research Assistant at Rensselaer Polytechnic Institute Data INCITE Lab in 2016.