Juan Pablo Herrera

Data Engineer at Kavak

Juan Pablo Herrera is a Senior Data Scientist at Kavak.com since August 2022, specializing in pricing optimization for a large inventory of used cars. Previously, Juan Pablo worked at OPI Analytics, where a user-centric web-based tool was developed for The Coca Cola Company to assist in demand forecasting. At Kellogg Company, Juan Pablo created a demand forecast model using Bayesian structural time series for multiple countries and contributed to ETL processes utilizing AWS services. Initial roles included positions as a Data Scientist at deep_dive, General Manager, and Operations Manager at Servicios Logisticos Raprese, along with a research assistantship at Instituto de Ciencias Nucleares - UNAM and a web development role at Jaque. Juan Pablo holds a Master of Science in Data Science from Instituto Tecnológico Autónomo de México and a Bachelor's degree in Physics from Universidad Nacional Autónoma de México.

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Vancouver, Canada

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Kavak

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KAVAK is the No. 1 e-commerce for the purchase and sale of pre-owned cars in Latin America. They started in 2016 and they already have several awards, including “Entrepreneur Of The Year” awarded by Expansión magazine.


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1,001-5,000

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