⏳ The Evolution: Late Summer to Now Since August, I’ve measured my progress not in months, but in friction: Fighting with Jupyter vs. Terminal logic. Reviving an old laptop with Debian just t...

🔁 Looking Back at the Project From the outside, this repository now looks clean: SQL scripts, views, a Tableau dashboard, and a README. From the inside, it was a month of small battles: Postg...

📊 From SQL Results to Visual Story With the SQL layer stable (tables, indexes, views), it was finally time to switch hats and think like a BI developer. The goal wasn’t to produce 20 random chart...

🔍 First Queries & Insights Before opening Tableau, I wanted to squeeze as much understanding as possible directly from SQL, in particular to understand how salaries, departments and overtime a...

⚡ PostgreSQL, DBeaver & Permission Hell The second I tried to move from idea to implementation, reality hit: PostgreSQL permissions + DBeaver configuration process messier than expected!!! I t...

🌍 From Database Chaos to Structured Analytics I was tired of looking at public data as a huge CSV and not really understanding anything: I wanted to go beyond “open data as a file” and build an ac...

📊 Tableau Dashboard & Call to Action As I started to build out the Tableau dashboard, it became clear that the real value in this project was not just generating SQL queries, but creating a Vi...

⁉️ SQL Queries & First Insights After expanding the dataset to 100,000 customers, it was time to dig deeper and run real queries on the data; I needed to understand who these customers are, wh...

🌄 Setting the Dataset After years of working in the banking industry, handling data in Excel, copying and pasting from reports, I realized that I wanted to truly understand the data and create act...

End: Dashboard & Final Insights The iGaming Retention Test project is complete — from simulation to statistical validation, modeling, and visualization. Main Goals of the day: Build an in...