In Episode 2 of Season 2, we break down one of the most requested episodes: a day in the life of a machine learning engineer.  

Hear from Tomasz Jurczyk, Machine Learning Engineer at Moveworks, about how he broke into the field and the types of problems he solves on a daily basis. From creating algorithms to understand human language no matter how complex, to creating a knowledge graph on enterprise support, Tomasz knows it all.

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In the first episode back for Season 2, we talk to Connie Yang, Lead Data Scientist at Pallet.  

Connie transitioned form an Applied Math & Computer Science degree at Carnegie Mellon into an entry-level Data Scientist role at Microsoft. During her time at Microsoft, she cofounded a Women in Data Science Community and grew as a leader and people manager.  Finally and most currently, she made the switch to the startup world as Lead Data Scientist at Pallet. 

Learn how Connie grew in her role and the things she did to set herself up to become a leader in her field!  

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In this episode we talk to Alex Carmen about her experience and knowledge working in presales at IBM and transition to post sales working in customer success at Mulesoft. We discuss what each role represents at the two companies, day to day responsibilities of someone in sales, the differences between pre and post sales, and finally how Alex first got her start into the world of tech after studying chemistry.  

00:00 Intro 

01:34 Finding interest in tech with a chemistry + economics degree 

08:35 IBM sales interview process & skills needed 

10:55 Impact of your role & environment on your personality 

15:25 Summit Program & sales training at IBM 

18:18 Roles & responsibilities as an Account Executive 

21:11 Learning about new industries 

24:11 Diving deep  on sales terms & processes 

28:47 Jumping from IBM to MuleSoft 

32:08 Account Executive vs. Customer Success Manager 

35:57 Diversity, Equity, Inclusion work throughout Alex’s life 

41:39 Closing advice on getting into sales or customer success