
Data Science
How to Select Features for Your Machine Learning Model?
Feature selection distinguishes the best data scientists from the others. Get techniques and tips for choosing the best features effectively.Β
For more than a decade, I worked across finance, marketing, sales and data, helping global consumer brands make better commercial decisions. As a revenue manager, I built pricing strategies and financial models, and spent a lot of my time finding growth opportunities buried in messy data.
I enjoyed the work, but I wanted to build something of my own, without the layers of corporate process. So I left and took the time to properly learn programming, data engineering and data science.
Today my partner and I build SaaS products from scratch, bootstrapped and independent. Right now, that's:
Here I write about what I'm learning and working on, from pricing and strategy to data, marketing and whatever comes next. What stays the same is how I write: I start from primary sources, facts and real numbers, then add my own experience.


Data Science
Feature selection distinguishes the best data scientists from the others. Get techniques and tips for choosing the best features effectively.Β

Strategy
How to craft an effective strategy? The best answer is provided in Richard Rumelt's book 'Good Strategy / Bad Strategy'. This article explores Rumelt's core concepts and offers a few thoughts on his ideas and the book as a whole. Β

Pricing
Most global consulting firms do not publicly disclose their strategic pricing frameworks on their websites. However, a few do. I found three that can serve as powerful tools in your professional toolkit.Β