#77 Acing the Data Science Interview

Automation is moving from APIs to full “computer use,” where agents click through screens like a human. That power is transforming evidence collection, access reviews, and repetitive security tasks, but it also raises new risk. In everyday workflows, the safest gains often start ...  Show more

Physical AI is showing up across the industry as sensors, connected devices, and foundation models move from the cloud into the real world. After years of IoT wiring everything to the internet, the big shift is turning raw measurements and video into meaning, not just dashboards. ...  Show more

In this podcast episode, Avery talks with Akshay Swaminathan, co-author of the book 'Winning with Data Science: A Handbook for Business Leaders.

They discuss the vague terms often thrown around in the data science industry and underline the importance of understandi ...

Robert Blumen talks with Cody Voellinger, the founder of a recruiting firm that specializes in filling software engineer roles for San Francisco-area startups, about how jobs are created and how companies and engineers get matched up. Their discussion covers the entire job search ...  Show more

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ...

In this episode of the Data Career Podcast, Avery interviews Eric Cuentas, a chemical engineer who turned into a data analyst and career coach.

They discuss obstacles when pursuing career goals and highlight the importance of determining genuine motivations to align wit ...