Blog
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10++ Commandments of Data Science Modeling
Our analytics team at ATD is comprised of a wide variety of data scientists, data engineers, and software developers. Although we come from different backgrounds, we all touch the data science modeling component at some point or another in our daily work. To make sure we avoid situations where model building turns into a multi-month-long complicated extravaganza that ends in an unscalable model, we try our best to stick to a simple set of what we call our “10++ Commandments” (C++, JavaScript pun intended). These were learned from hard experience, so you don’t have to! -
Dealing with Large Data Sets Using BigQuery
Our Analytics Team needs to adapt quickly when it comes to changes on a project, which is why they’ve been relying on the Google Cloud Platform (G... -
Launching the ATD Data Science Accelerator Program
In November, 2018 we introduced the world to our Data & Analytics Addicts at American Tire Distributors. Since that time our Analytics team ha... -
Interning with American Tire Distributors Advanced Analytics Center of Excellence
American Tire Distributors (ATD) is one of the largest independent suppliers of tires to the replacement tire market. Through our rapid distributi... -
Building Flask APIs for data scientists
ATD’s very own AJ Pryor, Principal Data Scientist, within our Advanced Analytics Center of Excellence (AACoE) sat down with @mkennedy of the @Tal... -
Deep Learning Coming to the Tire Industry
Forecasting warehouse staffing needs with Long short-term memory (LSTM) recurrent neural networks (RNN) Advanced Analytics Center of Excellen... -
“Reinventing The Wheel” — How To Organize an Awesome Data Science Hackathon!
If you’re an avid reader of this blog (which we hope you are!), then you probably know that ATD is on a mission to become a reputable analytics...
