Data Science
Data engineering, ML pipelines, analytics, visualisation and Python tooling.
SQL Is Still the Most Valuable Skill in Data. Here's Why I'd Learn It First.
Everyone tells beginners to start with Python. After four years in data roles, I'd tell them to start with SQL instead. Here's why it matters more, transfers more broadly, and takes less time to become useful.
Apr 20, 2026
6 min
My First ML Model Hit 99% Accuracy. Then It Hit Production.
Building my first real machine learning model, I was thrilled when it hit 99% accuracy on the test set. Then I deployed it and discovered why that number meant almost nothing.
Apr 20, 2026
7 min
I Was Using Pandas Wrong for Two Years. Here's What I Missed.
I wrote Pandas code that worked but was slow, verbose, and embarrassing to show other data scientists. Here are the specific patterns I was using and the better alternatives that changed my approach.
Apr 20, 2026
7 min
Why Most Data Dashboards Are Useless (And How to Build Ones People Actually Use)
I've built dozens of dashboards and watched most of them get ignored within a month. Here's what I learned about the difference between dashboards that inform decisions and dashboards that just exist.
Apr 20, 2026
7 min
How I Went From Excel to Python for Data Analysis in 90 Days
I was an advanced Excel user who kept hearing I should learn Python. Here's the specific 90-day path I took, what resources actually worked, and the moment it stopped feeling like learning and started feeling like a tool.
Apr 20, 2026
6 min
How to Build a Production RAG Pipeline with LangChain and GitHub in 2026
Step-by-step guide to building a production-ready RAG pipeline using LangChain, GitHub for version control, and modern best practices for chunking, embedding, retrieval, and evaluation.
Apr 20, 2026
9 min