Building Data Science Portfolio using Github

Global AI & Data Science

Train, tune and distribute models with generative AI and machine learning capabilities

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The IBM Data Science Community is excited to continue our collaboration with AICamp, with this next series focusing on career development. Check it out!

Agenda

Learn how the key to a successful data science practice is storytelling.

Do you want to step into the data science profession? Showcasing your work through a portfolio is as important as building the required skills. After all, the key to a successful data science practice is storytelling.

In this session, you will learn:

  • What is GitHub?
  • What is a repository and how do I create one?
  • Where to develop your project?
  • Ideas for projects
  • README tips
  • Share your projects on social media (LinkedIn, Medium, Dev.to)
  • And more!

Presenter

Saishruthi Swaminathan (IBM) is an advocate for Trustworthy AI and an Advisory Data Scientist at IBM. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. Previously, she worked as a Software Developer. She is on a mission to spread the knowledge and experience she acquired in her learning process. She also leads an education for rural children initiative and speaks at meetups focussing on Trustworthy AI and Women Empowerment.


#GlobalDataScience
When:  Sep 8, 2021 from 10:00 AM to 11:00 AM (PT)

Where

Online Instructions:

Contact

Christina Howell

chowell@us.ibm.com