Applied analytics and data science for business decisions
Frame the question, validate the data, and deliver analysis you can defend.
WHAT THIS SITE IS ABOUT
As analysts, we can query data and make charts. The harder part is the work in the middle, where things often become unclear. What are we actually trying to determine?
This site focuses on the workflow between the data and the decision: framing the question, structuring the analysis, and validating the data to support the claim. I share step-by-step breakdowns of real analytics problems so you can move from uncertainty to clarity and communicate results with confidence.
WHAT YOU’LL FIND HERE
SQL
Readable, maintainable queries designed for real datasets and real questions, with definitions and edge cases included.
Python
Explore and understand the data through validation checks, summaries, visuals, and analytical techniques that support the story.
Business Thinking
Clear framing before code so the question is well defined, assumptions are explicit, and the analysis stays connected to the decision.
WHAT YOU WON’T FIND HERE
Deep Learning
No deep learning or AI infrastructure. Modeling appears when it serves a specific business question.
Advanced Statistics
No textbook lessons. Just enough statistical reasoning to think clearly about uncertainty and tradeoffs.
Isolated Concepts
No abstract examples or theory for its own sake. Everything ties back to a real dataset and business question.
WHO THIS IS FOR
This site is for people who know the tools but want a repeatable way to turn real business questions into defensible analysis. If you’ve ever thought, “I know SQL and Python, but I’m not sure how to approach the problem,” this is for you.
Aspiring data and business analysts who want a practical workflow.
Analytics professionals looking to deepen their technical workflow.
Analysts who know syntax, but struggle with definitions, grain, and messy data.
You can start with the latest posts or read more About how I approach data work.