Welcome to episode 47 of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.

Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.

Today’s guest is Kate Strachnyi, founder of DATAcated Academy & Story by Data. Kate is regarded as one of Linkedin’s Top Voices in Data Science & Analytics. An author, podcast host and advisory board member, Kate’s focus is to provide custom Linkedin content strategy solutions for companies focused on innovating in the data science, machine learning and the AI space. 

Set up in March 2020, DATAcated Academy offers training data analysts on how to design effective and beautiful data visualizations. She is focused on delivering a visual best practices course that is product-agnostic. Additionally, they run the DATAcated challenge that includes crowd-sourcing information on various data-related topics, with a variety of prizes for select winners.

In the episode, Kate will tell you about: 

Her contributions to the Data Science community 

The motivation for founding DATAcated academy 

Educating organizations on maximising their data 

How to balance the workload 

Upcoming projects and what’s in store for the future 

Key advice on how to kickstart a career in Data Science 

What she loves about her job 

To find out more about Kate and her work, check out the websites www.datacatedacademy.com and www.storybydata.com. You can also connect with Kate on Linkedin and Twitter @StorybyData. 

What were your key learns from Kate’s podcast? What takeaways did you gain from the show to help in your AI and Data Science aspirations? I would love to hear your thoughts so please leave a comment below.

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