Machine Learning for E-commerce Advertising w/ Pepsi

Washington, D.C. Campus

GA D.C.
509 7th Street NW, 3rd Floor
Washington D.C. 20004

Past Locations for this Event

Machine Learning for E-commerce Advertising w/ Pepsi | Washington, D.C.

Washington, D.C. Campus

GA D.C.
509 7th Street NW, 3rd Floor
Washington D.C. 20004

Past Locations for this Event

About this event

    Tentative Schedule:
  • 6:30pm: Pizza + Beer networking;
  • 7:00pm: TBD by Data Scientist at Dataiku;
  • 7:30pm: Machine Learning for Ecommerce Advertising by Jordy Kieto, Machine Learning Engineer at Pepsi.

Talk Abstracts:

Machine Learning for Ecommerce Advertising by Jordy Kieto, Machine Learning Engineer at Pepsi: E-Commerce Market Attribution is a framework designed to determine how advertising / marketing affects sales across E-Commerce platforms. Corporations spend millions of dollars advertising on platforms such as Amazon & Instacart. This process is often done manually, and we’re often blind to the impact of our marketing actions. Our neural network quantifies the multiplicative effect of specific ads on sales for specific products, and also allows us to calculate the ROI for particular actions, telling us the optimal amount to spend.

Speaker bios:

Jordy Kieto is a Machine Learning Engineer at Pepsico and Data Scientist at Columbia University. Previously, he worked as a Software Engineer in Toronto before switching into Data Science. He studied English and Drama during university, and made the transition into tech through self-study and attending hackathons. This passion for the liberal arts has translated into a desire to ethically use data for bettering lives.

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