Every week, we talk about important data and analytics topics with data science leaders from around the world. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud, and Spotify.
DataTalk features data science leaders at MIT, Caltech, United Nations, Gartner, Twitter, Salesforce, Amazon, UBER, IBM, LinkedIn, Spotify, Dow Jones, and dozens of other startups and top data companies.
In this week’s #DataTalk, we chat with Harpreet Sahota, who is the creator and host of The Artists of Data Science podcast, the only self-development podcast for data scientists.
In this episode, Harpreet talks about his morning routine, the positive impact of journaling and meditation, and how he prepares for data science guests that come on his podcast. He also teaches us about how he manages time between his day and nighttime endeavors, having time for himself, and taking care of a family.
Video Highlights from the Conversation:
This show is hosted by Destiny White and Mike Delgado. Please reach out with suggestions for future topics or guests.
You can also catch the full video interview here.
Host of The Artists of Data Science podcast, Harpreet is a thought leader in the Data Science space with over a decade of education and in the field. With his strong business acumen, statistical background, modeling capabilities, data engineering, and machine learning engineering know-how, he feels right at home both working with engineering teams to deploy models to production and distilling complex data science concepts for business stakeholders.
By day, Harpreet works with leadership to define and execute strategies that demonstrate the value of the data at Price Industries while maintaining a rigorous set of principles. By night, he mentors nearly 2,000 up-and-coming data scientists by providing thoughtful mentorship and technical guidance.
He is always looking to connect with driven, focused, and experienced data professionals and leaders from around the globe.
You can connect with Harpreet on LinkedIn, and can register for an upcoming Data Science Happy Hour here.