Career Advice and Options for Pythonistas

This month, we will have two talks and a panel discussion, all with a career-oriented theme. The agenda is:

• Karen Dalton, "Research Software Engineering in Academia:
  Industry is Not the Only Option"
• Michael Galarnyk, "Building a Data Science Portfolio"
• Panel discussion, "Career options for Pythonistas"

SPEAKER BIO: Karen Dalton

Karen Dalton (@kilodalton) is a Principal Software Engineer at Stanford University and has been a tech lead for a few large research consortia in the "omics" space (genomics, proteomics, metabolomics, etc), as an individual contributor and as a engineering manager (Molecular Transducers of Physical Activity Consortia [MoTrPAC], Clinical Genome project [ClinGen]). She has has also worked in industry. She is a co-organizer of BayPiggies, and has been a volunteer at PyBay for several years. She has been a software developer for over 20 years. While every organization has unique opportunities, academia in particular has a rich array of rewards and frustrating challenges for software developers but they need you!

TALK: BUILDING A DATA SCIENCE PORTFOLIO

How do you get a job in data science? Knowing enough statistics, machine learning, programming, etc to be able to get a job is difficult. While a resume matters, having a portfolio of public evidence of your data science skills can do wonders for your job prospects. Even if you have a referral, the ability to show potential employers what you can do instead of just telling them you can do something is important.

SPEAKER BIO: Michael Galarnyk

Michael Galarnyk works in Developer Relations at Anyscale, the company behind the Ray Project. In his spare time, he teaches Python based Machine Learning classes through Stanford Continuing Studies and LinkedIn Learning. You can find him on Twitter (https://twitter.com/GalarnykMichael), Medium (https://medium.com/@GalarnykMichael), and GitHub (https://github.com/mGalarnyk).

PANEL DISCUSSION

Q&A with the speakers and other BayPiggies members about career options. If you are using Python in an interesting way in your job, we'd love to have you join our panel discussion! Just contact the organizers.

CODE OF CONDUCT

https://baypiggies.net/pages/code_of_conduct.html

Interactions online have less nuance than in-person interactions. Please be Open, Considerate and Respectful. Also, please refrain from discussing topics unrelated to the Python community or the technical content of the meeting.

RSVP

We will conduct the meeting via Zoom webinar. Please register in advance. To do so, first RSVP "Yes" to this event. You should then see the link to sign up via the Zoom webinar. We will also send the Zoom signup link to the baypiggies@python.org mailing list (sign-up here: https://mail.python.org/mailman/listinfo/baypiggies).