On this episode I got to speak with Greg Jacobs. Greg recently made the transition into the data science industry after spending over 10 years in private practice as a business attorney. Greg is a self-taught programmer who took the bootcamp route into landing his first data science role. He is passionate about the field and currently is in the process of integrating himself into the data science community on a variety of social media platforms. Greg was an early subscriber to my channel, and I am excited that I can talk with him about his journey.

On this week's episode I am speaking with Mike Kelly. Mike got his degree in Aeronautical Engineering, but found his passion in technical training. He has spent the last 6 years in the healthcare industry working for Optum, a large analytics and technology provider owned by UnitedHealth group. He is a principal data scientist working on machine learning projects and training UnitedHealth employees on the technical and business aspects of data science and AI.

On this episode I had the pleasure of speaking with Jeff Li. Jeff is currently a senior data scientist at Spotify focused on forecasting problems surrounding ads. He got into data science, initially, by trying to earn a living playing poker and previously spent two years at Doordash on the core ML team, working on a wide variety of problems such as improving experimentation power, personalization, supply/demand forecasting and driver pay.

In this episode I have the pleasure of speaking with a friend of mine from high school, Gleb Drobkov. Gleb is a senior data scientist at BCG Gamma, the advanced analytics practice of the Boston Consulting Group. His career spans consulting and the financial services industry, and these days, he typically focuses on using data and machine learning to help brands and retailers connect with consumers in more personalized ways. In our conversation,  we talk about the unique opportunities and challenges of working in data science at a management consulting firm, and the breakdown of time spent on a typical analytics engagement, as well as much more.

On this episode I had the please of speaking with Richmond Alake. Richmond is a Computer Vision Engineer based in London. He has a MSc in Computer Vision, Machine Learning and Space Robotics. Richmond believes in sharing of knowledge, and you can find some of his Machine Learning based articles on Medium where he's been a top writer in Artificial Intelligence for the majority of 2020. When he isn't working on deep learning or writing articles, Richmond spends his time exploring new technologies and side projects, one of which is Moretion, a smartwatch app that can track the proximity between your hand and face, and sends alert when your hand is touching your face, an application created for maintaining cautiousness in the COVID era. In this episode we will talk about his unique masters degree, how he went from a full stack developer to a data scientist, and how he builds incredible projects in his free time.

Richard is a data scientist from the Greater Detroit Area. He started off his data science journey when he was in graduate school by landing consulting gigs through his network. Since then he has had several roles in small, mid-sized, and large firms in the healthcare and pharmaceutical industries. He started a YouTube channel last year for a couple reasons. The first reason is out of a passion for teaching and motivating others. But the main reason he started the channel is to bring a candid perspective to people who are breaking into the field - to cut through the hype and provide no-nonsense takes on the field and its future, as well as practical tutorials on statistics and programming, with emphasis on how they are used in practical settings.

Jordan Harrod is a PhD student in Medical Engineering and Medical Physics at the Harvard-MIT Health Sciences and Technology program. She works at intersection of non-invasive brain-machine interfaces and deep learning for clinical pain and anesthesia under Dr. Ed Boyden and Dr. Emery Brown. Her YouTube channel focuses on engaging the public on artificial intelligence and algorithms. She received her Bachelor of Science in Biomedical Engineering from Cornell University in 2018. You can follow her on Twitter @JordanBHarrod.

Sanyam Bhutani is a ML Engineer and AI Content Creator at H2O.ai. He is also an inc42, Economic Times recognized Machine Learning Practitioner. Sanyam is an x1 Master and x2 Expert on Kaggle, ranked in Global Top 1% as well as an active AI blogger on the medium, Hackernoon, with over 1 Million+ Views overall.Sanyam is also the host of Chai Time Data Science Podcast where he interviews top practitioners, researchers, and Kagglers. The podcast has been streamed for 40k hours across 110+ countries for 120k+ timesIn this interview I speak with Sanyam about how he was able to build his Chai Time Data Science podcast. I also get his insight into kaggle, how to reach out to influential people, and his plans for the future.

In this episode I had the pleasure of speaking with Jeff Charbeneau. Jeff is a friend of mine from Chicago, who works on the machine learning engineer side of data science. He is probably one of the most passionate people about machine learning pipelines and ml ops out of anyone I know. Jeff's road to the present began in statistics.After several years in academia, first as a biostatistics graduate student, then as a staff biostatistican, he left to do quantitative things at a now defunct intellectual property startup. Next came data science consulting using crowdsourcing (don't do it). Then things got really interesting when he started working with software engineering teams. Over time, he developed a passion for building things that work and automating them and came to view well-engineered infrastructure as often needing to precede higher level efforts like data science, machine learning, so-called artificial intelligence, etc. He thinks Prefect is incredibly interesting and has compared it to Airflow here.

In this episode I had the pleasure of speaking with John David. He is the founder of Silvertone Analytics, a consulting agency that helps organizations make the most of their data. He also sits on the Advisory Council for Business School at Greensboro College, teaches Analytics classes at Greensboro College and High Point University. He Co-Hosts the "How to Get an Analytics Job" podcast." In this video we focus on how to break into analytics, the difference between data science and data analytics, and how to demonstrate your worth in the interview. Now on to our conversation