Kicking off a new natural language processing project using the Twitter API — Hello there friends! I’m excited to kick off a new project here that I think will be a fun one for learning purposes. Like many people in the data world, I have been equally curious if we can use data science in some capacity to be able to predict stock…

Tips on how a self-proclaimed introvert became a more confident extrovert — Hello there all! If you’ve met me in person particularly in a business context, you might have an opinion that I’m an outgoing, confident person. The truth is actually sort of the opposite. I would definitely consider myself an introvert, and outside of work, you’ll most likely find me doing…

A set of excellent books to help you on your own business career journey — Hello there, friends! So you might not be aware of this, but since I’ve not always had this inclination toward machine learning, my prior ambition was to grow my career in a more traditional business role. In fact, that’s just what I did prior to becoming a machine learning engineer…

Guidance on things to consider as your company sets up its MLOps ecosystem — One of the hottest recent topics in the AI/ML community has been the adoption of MLOps as a best practice. The challenge has been that MLOps can be pretty difficult to enable. As a machine learning engineer at a large company, I’ve been privy to many different options for enabling…

A post about sine waves, daylight hours, and the origin of the universe — There’s nothing like sitting on your front porch and enjoying a cool summer day… while also trying to listen to the sine wave in my own humming voice. Yeah, I’m a weird dude! But here I am, re-reading mathematician Steven Strogatz’s lovely book, The Joy of x, and thinking about…

Maximizing the value of your coding portfolio to land yourself a new job — There’s an episode of the HBO series Silicon Valley where software founder and CEO Richard Hendricks tries to sell a focus group on how great his compression algorithm tool is. While watching the focus group fail to understand the product from the sidelines, a flustered Hendricks steps onto the floor…

Analyzing where the industry could be heading and how you might prepare for it — There’s an oft-quoted phrase from famous hockey player that goes, “I skate to where the puck is going to be, not where it has been.” This quote is true for pretty much every industry, and data science is no exception. Though conceptual data science isn’t exactly a new study, applied…

Formalizing our feature engineering and model training code into a single pipeline — Hello there friends! We are back with part 4 in our series of creating a movie rating model. If you’d like to see the previous posts in this series, please check out this link, and you can also find the code for this whole project at my personal GitHub repository…

Exploring the less technical side of an ever growing technical field — Consider any job posting you’ve read for a position in the data science field, like a data scientist or machine learning engineer. The things you’ll likely see include a list of technical requirements, including knowing a specific programming language, having experience with statistical modeling methods, and more. Of course, that…