"Most people don't go from business to a more technical background, but my bachelor's degree was in business studies, and I joined Google out of undergrad as a financial analyst intern. Over several years, I pivoted from financial analysis to business analysis, then to trust and safety, and onto an engineering team in 2016. I joined several other software engineering teams, and then eventually joined Google Cloud AI, where I worked on one of the cloud AI products for a few years."
"To make multiple shifts like this, you need to upskill and explore other areas. Here's how I did it: I completed roughly 40 online open courses As soon as I joined Google, I decided my North Star was to become a data scientist. Initially, I had a lot of success broadening my skillset with online courses like Coursera, edX, or Stanford. I used them to explore finance, then statistics, then spent most of my time in the computer science and data science space."
A professional transitioned from a business bachelor's degree into senior AI engineering leadership at Google over more than a decade. The career path moved from a financial analyst intern to business analysis, trust and safety, multiple software engineering teams, Google Cloud AI, and an internal LLM innovation team later organized as an LLM information retrieval applied research team. The transition relied on extensive upskilling, including roughly 40 online courses through platforms like Coursera, edX, and Stanford, alongside two master's degrees and a certificate. A business background provided a different perspective and was not regretted.
Read at Business Insider
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