Li Qiyin

Technical Support Analyst at Innovid

Li Qiyin has a diverse work experience spanning different industries and roles. They started their career in 2009 as an English-Chinese-Spanish interpreter working as a self-employed individual. From 2013 to 2015, Li Qiyin worked as a Buying Manager at Kawo SA. They then transitioned to becoming a freelance e-commerce management consultant and data scientist, specializing in Mercadolibre positioning, from 2016 to 2020. From 2020 to 2022, Li Qiyin served as a Business Development Manager and Data Scientist at Lovely MakeUp, focused on digital marketing strategy, sales/stock management, and analytics reporting for e-commerce platforms. In 2022, Li Qiyin joined Google as a Technical Solutions Consultant, supporting various products and providing solutions for top publishers worldwide. Currently, Li Qiyin is working as a Technical Support Analyst at Innovid, starting in 2023.

Li Qiyin has a diverse education history. In 2011 to 2013, Li Qiyin attended Instituto Tecnológico de Buenos Aires and obtained a degree in chemical engineering with a focus on organic chemistry. In 2020, Li Qiyin enrolled in Digital House and studied artificial intelligence. Later, in 2021, Li Qiyin pursued a full-stack developer course at Digital House and a ReactJS developer course at Coderhouse. Currently, Li Qiyin is pursuing a degree in computer science with a specialization in machine learning at Universidad de Palermo, starting in 2016 and expected to finish in 2023. Additionally, Li Qiyin has obtained several certifications, including "Drive Advertising Revenue with Google Ad Manager" from Google Digital Academy (Skillshop) in May 2022, "HTML, CSS, and Javascript for Web Developers" from Johns Hopkins University on Coursera in April 2021, "Semantic Segmentation with Amazon Sagemaker" on Coursera in March 2021, "Neural Networks and Deep Learning" from DeepLearning.AI in November 2020, and "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" from DeepLearning.AI in August 2020.

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Timeline

  • Technical Support Analyst

    July, 2023 - present

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