AI Mentors E08: Benjamin Lohnes, Principal Analytic Consultant at Epsilon

,  | January 25 2019 | Mark Kelly

Welcome to episode eight 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 Benjamin Lohnes, Principal Analytic Consultant at Epsilon. Ben is an experienced Database marketing professional with experience in developing and implementing customer relationship and customer life-cycle marketing initiatives, email marketing, customer segmentation, broad business analysis, technical end-user application training, and medium to large technical project management.

He has years of experience in managing highly technical people, projects, and resources. His current focus is codifying the way in which stories are told across a variety of disciplines, with the ultimate goal being to find the common threads that can be used in organizations to tell clearer, more relevant stories that cascade throughout the organization ending with the most impactful story for the client.

In the show today, Ben will tell you about:

Interesting work he does at Epsilon

The importance of communication and storytelling

Understanding who your audience is to achieve ROI

Top tips on how to add real value as a Data Scientist

Why you should share your knowledge with others

If you would like to hear more from Ben and his work at Epsilon, check out the website www.epsilonconversant.com and connect with him on Linkedin

What were your key learns from Ben’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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