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Paweł Czechowicz aka. Pablo
Data Nerd, Not A Dashboard-Guy
Working with messy data using SQL and Python. Exploring, cleaning and understanding data before it reaches a dashboard.
Python, Pandas
Meet the Data Nerd
I'm Paweł Czechowicz. I don't get excited about colourful dashboards. I get excited about the data behind them. We're surrounded by zettabytes of information, yet a surprising amount of it is incomplete, inconsistent, or simply wrong. That's where I feel at home: exploring data, writing code, and making sure the numbers tell the truth.
Because sometimes all it takes is one badly defined field for an entire report to become misleading. Data doesn't need to look impressive. It needs to be right.
I don't choose tools for flashy visualisations. I choose them for their ability to uncover what's hidden in the data. Beautiful charts have their place. Personally, I'd rather have accurate data than attractive dashboards. The most interesting discoveries rarely sit front and centre on a dashboard. They're usually buried deeper, somewhere between tables, records, and relationships. That's where I enjoy digging. To me, data isn't about presentation. It's about understanding what's really going on.
This is where the real data story begins. Many business answers are already there, hidden beneath thousands of rows and relationships, waiting to be uncovered. I enjoy asking the right questions, exploring connections, and finding patterns that aren't obvious at first glance. The most valuable insights rarely reveal themselves straight away. More often, they're buried deep within the data. That's exactly where I like to look. Whether it's PostgreSQL, MySQL, or Microsoft SQL Server, these are the environments where I feel most at home.
If a task has to be repeated every day, chances are it can be automated. That's one of the reasons I enjoy working with Python and Pandas. They allow me to spend less time on repetitive tasks and more time exploring data, building solutions, and uncovering insights. Because let's be honest, clicking through the same steps over and over again isn't particularly interesting. Finding answers hidden in the data is.