Step-by-Step Method for Building a Brand in Data Science with Kirill Eremenko

How would others describe your brand? In this episode of the DATAcated on Air podcast, host Kate Strachnyi discusses building a brand with Kirill Eremenko, Founder of BlueLife AI, SuperDataScience, and DataScienceGo. Kirill has a background in physics and mathematics and is passionate about teaching and learning. Listen to learn more about the importance of having a brand and simple ways to start building yours. You will want to hear this episode if you are interested in... Why do we need a brand? [04:12] Challenges building a brand [07:14] Creating a brand for managers [18:34] Social media platforms [20:46] Mixing personal and professional [28:34] Confident Data Skills [39:26] Helpful daily routines [43:43] Overcoming roadblocks [53:25] Ben Taylor on connecting with your audience [01:01:10] Resources & People Mentioned SuperDataScience DataScienceGO Deloitte | Audit, Consulting, Financial, Risk Management, Tax Services The Big Leap Kaggle Tony Robbins - Chairman - Robbins Research International | LinkedIn Confident Data Skills: How to Work with Data and Futureproof Your Career TensorFlow Ben Taylor - Chief AI Strategist - DataRobot This Is Why Your Data Scientist Sucks Connect with Kirill Eremenko On LinkedIn Connect with DATAcated http://www.datacated.com/ DATAcated on LinkedIn: https://www.linkedin.com/company/datacated1/ Kate on LinkedIn: https://www.linkedin.com/in/kate-strachnyi-data/ DATAcated on Twitter: https://twitter.com/datacated_ DATAcated on YouTube: https://www.youtube.com/datacated Subscribe to the DATACATED On Air podcast --- Support this podcast: https://podcasters.spotify.com/pod/show/datacated/support

Om Podcasten

The DATAcated On Air podcast is focused on providing the audience with interesting content for the data community. Episodes will include interviews with experts in the space, as well as presentations on various data science, analytics, machine learning and artificial intelligence topics. Support this podcast: https://podcasters.spotify.com/pod/show/datacated/support