I just switched jobs and had a Stack Overflow account under my work email... I forgot the password and since I can't access that email anymore, I had to create a new account with my personal email. YAY! I'm a n00b again! Anyway...

I got into data analytics in 2016 after graduating from Indiana University with an MBA focused on Analytics and Supply Chain. I joined Kroger's Supply Chain Analytics team right after graduation. Since then, I've learned a ton about analytics, data visualization, data architecture, data engineering and some things about data science.

For the most part I've stayed in the descriptive and diagnostic arenas, although I was able to delve, briefly, into the predictive and prescriptive spaces with a few machine learning projects. One of which enabled me to learn how to build an anomaly detection ML model from scratch using python and a distributed computing setup patterned after Databricks, that was built in-house at 84.51°. The other gave me the opportunity to learn, high-level, about Data Robot, a web-based ML tool that does a lot of the heavy lifting for you.

I love the stuff and love learning more about ways to move, clean, and mine data to retreive useful insights that drive business efficienies, growth, and cost savings. I really want to get more into the science around predictive and prescription analytics but if my short foray into that space taught me anything, it is that I have a long way to go before I can really call myself a Data Scientist.