Instacart
Yinghan Fu is a seasoned data scientist with extensive experience in the field, currently serving as Senior Data Scientist II at Instacart, a position held since June 2020. Formerly a Data Scientist at Yelp from March 2017 to May 2020, Yinghan played a pivotal role in developing the live wait time model prototype for Waitlist, achieving a 25% reduction in RMSE compared to legacy models. Prior experience includes a Data Scientist role at Zenefits, contributing to the company's strategic pivot towards paid HR products through the definition and tracking of SaaS metrics. Yinghan's journey began with an Insight Data Science Fellowship, during which a web application was developed to aid recruiters in candidate selection. Earlier academic work included research at the University of Rochester, focusing on RNA biomolecular structures using machine learning techniques. Yinghan holds a Bachelor of Science in Physics from Fudan University and a PhD in Computational Biophysics from the University of Rochester.
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Instacart
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Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 800 national, regional, and local retail brands to facilitate online shopping, delivery and pickup services from more than 70,000 stores across more than 5,500 cities in North America on the Instacart Marketplace. Instacart makes it possible for millions of busy people and families to get the groceries they need from the retailers they love, and for more than 600,000 Instacart shoppers to earn by picking, packing and delivering orders for customers on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase.