E04 Kristen Kehrer, Founder of Data Moves Me

Welcome to episode 4 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, host Mark Kelly interviews 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 and AI.

Today’s guest is Kristen Kehrer, who is the founder of Data Moves Me. Kristen started her journey to becoming a Data Scientist without knowing it but wanted to be analyzing data, building models, and helping to guide business decisions. Since 2010, she has utilized Data Science across multiple industries, including the utilities, healthcare, and eCommerce

Prior to attaining her Master’s Degree, she was a high school math teacher and always enjoyed tutoring, coaching and mentoring. Her passion is leveraging her experience with the end-to-end job search for Data Science positions to help others effectively market their skills to land a job in this field. The coaching she had personally received was invaluable to how she approached the job search and is thrilled to share her expertise with others.

In the episode, Kristen will share with you:

  • The importance of communication and influence
  • The role of Data Science in business
  • Challenges to be aware of within data science
  • Key Questions to prepare for in interviews
  • How to structure your resumé
  • Tips and courses she offers on her blog Data Moves Me



To find out more about Kristen, head over to her blog www.datamovesme.com which has plenty of inspiring advice and resumé tips to help you in your Data Science career

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

If you would like to hear more from the AI Mentors podcast then please subscribe and don’t forget to like and share with your friends on social media.

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