Welcome to episode 49 of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.
Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.
Today's guest is Alexander O’Connor, Lead Data Scientist at Autodesk in San Francisco. Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with their software. Autodesk gives you the power to make anything.
Alex leads a team whose purpose is to help the customer to get the answer they need by allowing them to state their problem in their own words. The team is dedicated to enhancing support. They work in an agile fashion to deliver projects that leverage a variety of Machine Learning tools and have access to a fantastic store of data in many forms, all of which can be mined for insight, automation and prediction.
In the episode, Alex will tell you about:
Applying Machine Learning & Data Science at Autodesk
What he loves most about his job
Making the transition from academia to industry
The potential of Personalisation, NLP and Deep Learning
Exciting projects he is working on at Autodesk
How to build an effective data science team
Key tips for a successful Data Science career
Alex also spoke at a recent AI in Action meetup in which he gave us an industry perspective into the latest trends in NLP, in particular about his experience with Transformers . Watch it here.
What were your key learns from Alex's podcast? What takeaways did you gain from the show to help in your AI and Data Science aspirations? I would love to hear your thoughts so please leave a comment below.
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