In this video I spoke with Kate Strachnyi from @Story by Data about the importance of data visualization. We talked about how Kate learned data visualization, why it is important, and a bit about how you can build a brand for yourself. You might have seen the linkedin live that we did a few weeks ago together! Kate is the Founder of Story by Data, DATAcated Academy, and the DATAcated Conference which is coming up October 27th, I’ve linked to the sign up page in the description.She’s an advisory board member for the Initiative for Analytics and Data Science Standards and the International Association for Data Quality, Governance, and Analytics. Kate is also an author, data visualization specialist, and was named as a LinkedIn Top Voice in Data Science & Analytics in 2018 and 2019. 

In this episode, I had the pleasure of interviewing Jeremie Harris. Jeremie is the co-founder of SharpestMinds, a data science, machine learning and analytics mentorship program that's free until you get a job. SharpestMinds is a Y Combinator backed startup,  the world’s largest mentorship marketplace for data science, with mentors from companies like Google, Tesla, Airbnb and Shopify. He's also the host of the official Towards Data Science podcast, where he talks to world-class data scientists and machine learning researchers about everything from data careers to the future of humanity. I was actually on his podcast a few weeks ago, so definitely go check that out after this (linked below)Jeremie has an incredibly unique perspective on the data science job market from his work at Sharpest Minds. In this interview we discuss some of the metrics associated with the data science interview process, some of the parallels between entrepreneurship and data science, and a deep dive into his incredible journey.

In this episode I had the pleasure of speaking with Andrew from dataleap. He is data scientist and youtuber who is providing a great resource free industry education. He breaks down complex data science concepts with his own unique brand of comedy sprinkled in. You also get to enjoy some corgi time with his wonderful sidekick meatball. If you want to see Meatball, be sure to check out the full video interview here: https://www.youtube.com/watch?v=Kq9dkZu0bpgIn college, Andrew was grinding for an 80 hour a week job as a management consultant. He had never written a line of code until his junior year. During his masters when he found out about the great opportunities in data science, he was able to teach himself the skills and land a job in just six months.  Since then he's bounced around a lot of industries: from cutting edge startups, to billion dollar hedge funds and FAANG companies. Each time he swapped roles, he was able to increase his base compensation and the amount of freedom in his work.  In this video, we will talk about how he learned the skills, how he conquered the interview process, and how maybe you can follow in his footsteps. After the interview, if you want to learn more about Andrew, check out his Youtube channel.

In this episode I had the pleasure of interviewing Vijay Pravin Maharajan. Vijay Pravin Maharajan has had quite the impressive career in data science and as a speaker. He was named on the top 40 Data Scientists under 40 in India, and he was the first Indian to be invited to give a Ted X talk in Germany below the age of 30. Vijay came from a electrical engineering background and currently works for the German Branch of Siemens as a data analytics expert. If you’re interested in learning more about him after watching this interview, you can find some additional details on his LinkedIn (where he boasts over 33k followers). In this interview we focus on how to transition into data science from less traditional majors like electrical engineering, how to break into data science roles in other countries (a much requested topic), and how to get comfortable with public speaking. 

In this episode I had the pleasure of interviewing Alex Castrounis. Alex has had an incredible career in both sports analytics and data science. He started as a IndyCar engineer and eventually managed the data science program at Andretti AutoSport. Now, Alex is the founder of InnoArchiTech and InnoArchiTech Institute, as well as the author of AI for People and Business. He helps companies create and accelerate their data-driven success, while also helping individuals become more data literate. During his career, Alex has presented to business leaders from many influential organizations such as Apple, Google, and Microsoft, and has explained the benefits of data, analytics, and AI to thousands of people.Subscribe to Alex's YouTube channel: https://www.youtube.com/channel/UC4grp4LnKaVvL-6lr6nCh4w?sub_confirmation=1Alex’s Book - AI for People and Business (O’Reilly)FREE CHAPTER DOWNLOAD - https://www.aipbbook.comGrab your copy on Amazon - https://amzn.to/3h5jI9a SIGN UP for the InnoArchiTech weekly newsletter curated by Alex Castrounishttps://www.innoarchitech.com/newsletter

In this episode I had the pleasure of speaking with Tina Huang. Tina recently landed a data science position with one of the FANG companies. She also happens to have a data science Youtube channel where she gives tips on how you can dominate the FANG data science interview as well. In our conversation, Tina talks about how she got started in data science from her initial interest in bioinformatics, she also talks about why she chose to do a Masters in a CS program. She goes in depth into  how she landed her internships and she highlights the things that set her apart from other candidates. Finally she explains the techniques she used to beat the FANG data science interview. Her channel: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww#66DaysOfData : https://www.youtube.com/watch?v=uXLnbdHMf8wBecoming a good student: https://blog.usejournal.com/learning-to-learn-how-i-went-from-dunce-to-life-long-student-3a7c7c98794cHow Tina got her first internship: https://www.youtube.com/watch?v=Rx1i1J4m4MQ

In this episode, I interview Ray Ojel one of my long time subscribers. Ray recently landed a data analyst job. He did this only 5 months after learning about a data science role and 7 months after learning how to code.I think this is an incredible accomplishment. In this interview, we carefully go through how he learned the data analyst skills, how he applied for his role, and how he succeeded in through the interview process. This interview will be useful for anyone looking to break into the field of data analytics and data science. Although, it is very rare to break into the field at this speed, Ray's story shows that it can be done! 

In this episode I interviewed Abhishek Thakur. He is the first ever 3-time and 4-time kaggle grand master. Abhishek takes us inside his unique mind to understand how he performs so well in the kaggle competitions.He also talks about how he got his first data science job, the importance of data science projects, and also about getting a job in another country.Abhishek's Youtube: https://www.youtube.com/channel/UCBPRJjIWfyNG4X-CRbnv78AHis new book: https://amzn.to/2YBxGcu

In this episode, I had the pleasure of speaking with Nick Wan. Nick streams data science content on twitch, but also has worked in sports analytics with the Cincinnati Reds. His work there allowed him to pivot recently into a data science manager role at KFC.In this interview I talked with Nick about his experiences learning data science, breaking into sports analytics, and streaming data science content on Twitch. He also gives some awesome advice related to interviewing for data science roles and learning as you go. At around an hour in Nick and I talk about what our projects look like and how they have grown over time. Here I even bring up some of my grad school work as an example. If you want to see the video version of the podcast so you can see what Nick and I are referencing check out the Youtube video here: https://www.youtube.com/watch?v=S_CuB__nsmI.Follow Nick on Twitch: https://www.twitch.tv/nickwan_datasciFollow Nick on Twitter: https://twitter.com/nickwan

In this episode I had the privilege of speaking with Anima Anandkumar about the her background, her work at NVIDIA, and how she views the future of Machine Learning and AI. Anima is the Head of ML and AI research at NVIDIA. She also is a Bren Professor at CalTech. She has been honored by multiple organizations for her contributions to the field of AI research and she has given multiple talks on topics ranging from the future of AI to ethics in the data science community.Her Ted Talk: https://www.youtube.com/watch?v=zkJ5lEuGQDwHer YouTube Channel: https://www.youtube.com/user/animakumar82Her Twitter: https://twitter.com/AnimaAnandkumar