Yuval is an Analytics and Data Science professional with extensive commercial and academic experience. His interests and goals are to be working on interesting and practical problems where there is a need to discover and act on meaningful patterns in data, through advanced analytics and data science. I'm the founder and co-organiser of two meetups: Data Science Melbourne and MelbURN, a user group for Melbourne-based users of the R statistical and data mining programming language.
In this episode, Yuval tells us about how both of his parents are statisticians and inspired him to fall in love with data science. Growing up, he used Pascal to build spaceship games, and it motivated his passion for programming. Eventually, Yuval went for his Ph.D. and focused on applying how animals learn and behave to robotics. Simulated and physical experiments were pretty basic because robotics were not as advanced as they are today. Later, Yuval realized academia was not necessarily his calling, he was more interested in applying solutions to interesting problems. However, in recent years, research innovation and solving problems are becoming much more intertwined.
Then, Yuval tells us why it essential to embrace simplicity and praises the advantages he reaped by working for a small business. In retrospect, Yuval realized he developed a higher level perspective of business level thinking by working for such a small team; however, he actually turned down a promotion because he was not yet confident in his technical skills. Get as close to the source of data as possible to get a real appreciation for it. Without appreciation, a person will not be successful in a data science managerial position. Doing technical work, Yuval was able to stay connected to the community and hear varying perspectives on how businesses operate and the different flavors of management. Later, Yuval explains his struggles with becoming a manager, the benefits of building connections in the workplace, and the importance of allocating time for professional development.
Enjoy the show!
We speak about:
[01:40] How Yuval fell in love with data science
[05:45] Social learning in biology
[08:05] Lessons learned from completing a Ph.D.
[13:10] Research innovation vs. solving problems
[15:40] Embrace simplicity
[18:00] Small business advantages
[21:45] Skills to develop before management
[26:00] Results oriented work
[30:45] Different flavors of management
[32:50] Connection to community
[40:20] Learning to interact with stakeholders + managerial skills
[44:00] Benefits of building connections + education
[48:00] Assume people are at work with good intentions
[52:00] Allocate time for professional development
[59:30] Focus on retention
“Embrace simplicity or go to academia.”
“You have to know the business process before you can make sense of the data.”
“Some people strive from innovation, whereas others find satisfaction from solving simple problems and making a difference in an organization.”
“If you have the right relationships, you can make anything work.”
“It’s important to try different experiences while you’re young, but facing the challenges where you are is equally important.”
Now you can support Data Futurology on Patreon!
Thank you to our sponsors:
UNSW Master of Data Science Online: studyonline.unsw.edu.au
Datasource Services: datasourceservices.com.au or email Will Howard on firstname.lastname@example.org
Fyrebox - Make Your Own Quiz!
Yuval Marom is based in Melbourne, Australia.
And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!