Shiqi Tao

Shiqi Tao has worked in various roles, including Data Scientist at Raptive starting in 2022, Data Scientist at Byers Eye Institute at Stanford from 2022 to 2022, and Data Scientist at La Haus from 2021 to 2021. As a Data Scientist at La Haus, Shiqi improved real estate description quality by 95% using NLP techniques and built and trained NLP models to classify item descriptions, increasing web traffic by 5%. Additionally, Shiqi designed a cost-effective method that automatically generated human-readable property descriptions for real estate. Before that, Shiqi worked as a Purchasing Manager at WOLFSPORT from 2018 to 2020, where they were responsible for negotiating pricing with suppliers, analyzing market uncertainties, and visualizing both purchasing and sales data.

Shiqi Tao received a Bachelor's degree in Economy and International Business from Universidad de Alcalá in 2015. In 2019, Shiqi began pursuing a Master of degree in Big Data and Data Science at Universidad Complutense de Madrid, completing it in 2020. Following this, Shiqi attended the University of San Francisco in 2020-2021 and obtained a Master of Science in Data Science.