I'm Tivon.
I spend my time translating business questions into answers, using SQL and Python to make sense of situations that are often ambiguous or unclear.
I’m a Market Research Specialist with an M.B.A. and M.S. in Business Analytics from the George Washington University. I also have a bachelor’s degree in accounting and spent over 10 years in finance and accounting before graduate school.
This combination of business context and numbers discipline is why I focus on definitions, validation checks, and making assumptions explicit before I trust a result.
Practical SQL & Python for real business questions
Most SQL and Python tutorials focus on syntax, not how analysts actually think.
In real analyst roles, the work doesn’t start with a clean dataset or perfectly defined question. It starts with vague requests, incomplete context, messy tables, and limited time.
Here, I focus on answering real business questions with data, step by step, using the kinds of information analysts actually have.
How I approach analytics
- Start with the business question, even when it's unclear
- Identify what data is available (and what isn't)
- Make assumptions explicit instead of pretending the data is perfect
- Use SQL and Python to get a useful answer
- Be honest about uncertainty, tradeoffs, and next steps
The goal isn’t perfect analysis. It’s analysis that’s good enough to support real decisions.
You won’t find machine learning, advanced statistics, or theory for its own sake here. Just practical analytics, grounded in real-world constraints.
Why this site exists
This site is a working notebook. It’s where I document how I think through business problems, deepen my understanding of SQL and Python, and share patterns and ideas that hold up outside of textbooks. Writing things out forces clarity, which is what good analysis depends on.
What you can expect
- Clear explanations that get to the point
- Examples drawn from real situations
- Emphasis on understanding the reasoning behind each step
- Practical guidance you can apply immediately
Links
Feedback welcome
I’m always refining these posts. If you spot an error, a clearer explanation, or a better way to do something, just reply to the newsletter email and let me know.