Gonzalo Hernández is a data scientist and industrial engineer with eight years of cross-functional experience building ML models, analytics pipelines and measurement frameworks across advertising, consumer and supply-chain contexts. Currently at Philip Morris International and teaching data literacy at Masterschool, he combines hands-on tooling in Python, BigQuery and Google Cloud with practical R&D leadership—having led multi-disciplinary teams on Customer Lifetime Value and Attribution projects. He brings advanced SQL and production ML experience (including RAG chatbots with OpenAI embeddings and Pinecone/Redis vectors) and a track record of translating client needs into actionable analytics and dashboards. A longtime educator at the University of Buenos Aires, he pairs design-thinking and universal design principles with data-driven problem solving, which helps him bridge technical solutions and human-centered product outcomes. Based in Berlin, he’s also pursuing PhD-level work in systems and control, reflecting a strong research bent that complements his product-focused delivery.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering - Meng, Industrial Engineering, Master of Engineering - Meng, Industrial Engineering at Universidad de Buenos Aires
Data Science, Data Science at Digital House
Máster en Innovación Social, Máster en Innovación Social at Learning by Helping
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