Women-In-Tech Series: Data Science at a Pre-IPO

Taylor's Lakeside Campus
Fri, Jan 28, 1:00 PM (GMT+8)

"Ding ding ding”, rings the NASDAQ opening bell. Months after Robinhood’s hugely acclaimed public debut on the stocks exchange, we sit down with Rachel Leong, a former Data Scientist and current Product Manager at the company, to talk all things Data Science and IPOs.

About this event

"Ding ding ding”, rings the NASDAQ opening bell.

Months after Robinhood’s hugely acclaimed public debut on the stocks exchange, we sit down with Rachel Leong, a former Data Scientist and current Product Manager at the company, to talk all things Data Science and IPOs.

Join us this Friday, 28 January 2022, from 1PM - 2PM (GMT+8), to hear about topics ranging from machine learning production best practices to causal inferences in analyses to what it means for employees during an IPO. 

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