While the transition from academia to industry can be brutal for data scientists, academics don't show up in industry empty-handed. They bring powerful transferable skills that many industry-trained data scientists never develop.

In this Value Boost episode, Dr. Sayli Javadekar joins Dr. Genevieve Hayes to flip the script on their previous conversation, exploring the valuable skills that academic-trained data scientists bring to industry and how any data scientist can develop these same strengths.

You'll learn:

1. The most valuable skills academics bring to industry [01:30]
2. Why the experimental mindset matters so much [03:43]
3. The hidden benefit of extended research projects [04:54]
4. How mentorship can work both ways for mutual benefit [07:06]

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
• Be among the first to hear about the release of each new podcast episode by signing up HERE

While the transition from academia to industry can be brutal for data scientists, academics don't show up in industry empty-handed. They bring powerful transferable skills that many industry-trained data scientists never develop.

In this Value Boost episode, Dr. Sayli Javadekar joins Dr. Genevieve Hayes to flip the script on their previous conversation, exploring the valuable skills that academic-trained data scientists bring to industry and how any data scientist can develop these same strengths.

You'll learn:

1. The most valuable skills academics bring to industry [01:30]
2. Why the experimental mindset matters so much [03:43]
3. The hidden benefit of extended research projects [04:54]
4. How mentorship can work both ways for mutual benefit [07:06]

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
• Be among the first to hear about the release of each new podcast episode by signing up HERE

Activities outside of data science can strengthen the very skills data scientists need for their careers in surprising ways. From improving stakeholder communication to learning how to work with resistance rather than against it, hobbies and interests often teach lessons that directly translate to professional effectiveness.

In this Value Boost episode, Colin Priest joins Dr. Genevieve Hayes to explore how unexpected hobbies and activities can make you a more effective data scientist and enhance your career.

You'll discover:

1. How dancing skills translate into better stakeholder presentations [02:02]
2. What swimming teaches about working with resistance [06:30]
3. Why coaching swimmers improves communication with non-technical colleagues [08:10]
4. The simple activity anyone can try to expand their data science thinking [11:03]

Guest Bio

Colin Priest is an actuary, data scientist and educator who has held several CEO and general management roles where he has championed data-driven initiatives. He now lectures at UNSW, where he specialises in adapting education for the age of AI.

Links

• Connect with Colin on LinkedIn
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE