-
Lately I see linkedin full of diagrams trying to explain the “AI stack”. The problem is that almost none of them are designed around how BI teams actually work. From a BI point of view, many of those explanations are technically confusing and, even worse, they add very little value when it comes to explaining…
-
If you work in a BI team and you are still creating insights manually using tools like Power BI, or Tableau, stay here, this article might be interesting for you. Over the last few months, I’ve been very curious about how LLMs can be used to automate business processes. So, in this article, I decided…
-
1. predicting sentiment from amazon reviews I’ve always been fascinated by how platforms try to understand what we like. Years ago, Netflix used a simple star-rating system to recommend movies and shows, and it felt almost magical that a handful of stars could shape your entire watchlist. Behind the scenes, they were likely running some…
-
Introduction In this project I set myself a very practical goal: build a daily forecasting model for steel rebar prices and turn it into a reproducible, end-to-end workflow that I can run in Python and later expose through an API. Steel is a core input for construction and infrastructure, and even small moves in its…
-
Understanding Customer Behavior Through K-Means Clustering: A Practical RFM Approach The goal of this project is to use the Online Retail II dataset to build a K-means model capable of revealing natural patterns in customer behavior, without relying on predefined labels or assumptions. My intention is to understand how customers group themselves based on their…
-
Carmonex is my personal space to explore data, models, and decision-making through a practical and business-oriented lens.After years working in analytics, finance, and operations, I realized that the most valuable insights usually come from connecting three things: This blog is where those three elements meet. What You Will Find Here I’ll be sharing: Everything will…