Javier, a former professional violinist and composer, found an unexpected second act in data science through LinkedIn's REACH program. This initiative targets individuals with diverse professional histories, aiming to bridge the gap into tech roles.
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After a 15-year career in music, Javier pivoted to data science during the pandemic, driven by an interest in AI and machine learning. The REACH apprenticeship provided a structured pathway, offering both skill development and project involvement.
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Now a machine learning engineer on LinkedIn's Feed AI team, Javier works with massive datasets, processing billions of rows to refine recommendation algorithms. He utilizes Python, Scala, and Java for data analysis and machine learning experiments.