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Machine Learning For OSINT Marketing

We paved the way for Wayfair's data engineering team to use OSINT Marketing for customer targeting and implementing dynamic pricing across their entire furniture catalog.

Webscraping Meets Data Pipelines

We utilized custom Python and Go webscrapers to scrape pricing data from Wayfair's largest competitors. From there, data was ingested into pipelines that was cleaned and filled for missing data before creating queryable indexes for feature engineering. Email campaigns were automated to warm cold prospects lists into warm leads and eventually new customers.

Date Infrastructure and Pipelines

We utilized Dataproc and Big Query to provide data warehouse solutions for running batch query jobs across their pricing catalogue.

Company

Wayfair

Category

Machine Learning, Data Infrastructure

Date

March 2021

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