Blog
Tutorials from real project work
No filler theory — every article comes from something I had to solve for a client or a student.
12 Pandas Tricks That Save Hours Every Week
Vectorised patterns, method chaining and memory tricks that make your analysis code faster and cleaner.
12 Pandas Tricks That Save Hours Every Week
Vectorised patterns, method chaining and memory tricks that make your analysis code faster and cleaner.
SQL Window Functions: The Practical Guide
Running totals, rankings and moving averages explained with real analytics queries you can reuse today.
How to Build a Churn Model Businesses Actually Use
Choosing the right target, avoiding leakage and translating probabilities into retention actions.
Power BI Performance: 9 Fixes for Slow Dashboards
Star schemas, aggregations and DAX habits that turn a sluggish report into an instant one.
The Realistic Data Science Roadmap for 2026
A month-by-month plan covering Python, SQL, statistics, ML and the portfolio projects that get interviews.
The Statistics Every Analyst Actually Needs
Skip the theory overload and focus on the handful of tests and concepts that appear in real work.
AI Agents for Analysts: Where They Help and Where They Don't
A grounded look at automating data prep, documentation and reporting with LLM workflows.