Data Science
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How Pandas chunking, Dask, and Polars help process millions of records when adding more compute…
9 min read -
In the age of AI, standing out here means a lot more than ever. Here…
7 min read -
The tools I use for analytics and reporting have changed more than I expected, yet…
9 min read -
How to smash through data / ML behavioural interviews
10 min read -
Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression
Data ScienceWhether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or…
14 min read -
One Month Into Learning Data Engineering in Public: Here’s What I Didn’t Write About
Data EngineeringA reflection on the first month of learning data engineering in public, and what actually…
8 min read -
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable
Data EngineeringA practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development.
9 min read -
How Gemini solved my Pandas problem in seconds, and why data science fundamentals still matter…
7 min read -
Why one-hot encoding isn’t always the best approach, and alternative encodings
21 min read -
For years, I created date tables with DAX code whenever I didn’t have a way…
11 min read