Episode 92: Making the Academia to Industry Leap in Data Science

Making the leap from academia to industry isn't just another career change - it involves a complete shift in the way you work. Data scientists transitioning from academia face a brutal learning curve that can leave them feeling unprepared despite years of advanced training.

In this episode, Dr. Sayli Javadekar joins Dr. Genevieve Hayes to share her recent journey from a tenure-track academic position to working as a data scientist in industry, revealing the challenges she faced and the strategies that helped her navigate this difficult transition.

You'll discover:

1. Why academic training can leave you unprepared for industry expectations [10:49]
2. The mindset shifts required when moving from research to business [07:50]
3. Strategies to help bridge the gap between academic and business work [15:23]
4. The one thing academics should do before leaving for industry [22:11]

Guest Bio

Dr Sayli Javadekar is a data scientist at Thoughtworks, with experience at the World Bank and UNAIDS. Before this, she was an Assistant Professor at the University of Bath and holds a PhD in Econometrics from the University of Geneva.

Links

• Connect with Sayli on LinkedIn
• Connect with Genevieve on LinkedIn
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