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Good day, and thanks for the visit!

Following up on an 11-year career as a math professor, I’ve been providing data-driven insights to grocery stakeholders since early 2020.  My industry knowledge and technical capabilities have grown to the point where I’m leaned on heavily for my expertise.  My biggest strength is turning raw data into actionable decision points for the merchant and marketing teams.

I work regularly in DataBricks using Python and SQL, leverage Tableau for data viz, and can present recommendations comfortably to any audience big or small, remotely or in-person.  I have experience playing well in AWS, Azure, and on-prem Linux environments. 

I prefer business intelligence and being in the weeds with category managers to cranking out hard-core machine learning, but I can scratch that itch when necessary.  I’m not one to model just for modeling sake, but certainly have retained what I’d learned in grad school and during my modeling days at 84.51. 

Expert:  Understanding customer behavior by leaning on SQL / Python derive value from point-of-sale data. Understanding business problems, storytelling, building stakeholder relationships, mentoring teammates.
Developing Software engineering best practices, crawl-walk-run mentality.
World Series of Poker 2021, Stud Hi-Low Event, 13th Place
San Gerardo de Rivas, Costa Rica, 2023

Data Philosophy

Motto:  Common sense outshines statistical significance.  

Know your data inside and out.  “What’s this column mean?” should have an answer or a data dictionary. 

Understand your metric defintions.  “How was household penetration defined?” should not be shrouded in mystery. 

Be able to describe the pipeline and the exclusions.  “How did you remove outliers?” must be tractable.  

Huge sample sizes that lead to meaningless statistical significance should be handled gingerly.  “So you’re saying this intervention was significant?” should be held up to the business-value mirror every time. 

Point of View

My primary goal is to partner with merchant leadership to provide insight from the customer data perspective.
 
I pride myself on attention to detail, quick learning curves, and an objective mindset. 
 
I prefer to partner with leadership to understand the business needs, see what unfolds data-wise, and then use those insights as supplemental evidence to make quality forward-looking decisions. 
If you're interested in building our professional networks, kindly find me on LinkedIn. 
Wrangling the Hills of Hill Country, TX, 2022

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