Welcome to my blog. This space started as a way to document my learning process in data science and analytics, but it has grown into a practical archive of notes, technical explanations, and project write-ups.
My current focus is data analytics, data quality, reporting, SQL, Python, and business-oriented problem solving. I use this blog to explain concepts I have studied, document useful workflows, and present examples from projects where data cleaning, analysis, visualization, or interpretation played an important role.
The posts are intentionally practical. Some are short technical notes, some are project explanations, and some are learning summaries that help me organize concepts clearly. The goal is not only to show code, but to show how I think through a problem: what the data means, what needs to be cleaned or validated, what questions can be answered, and how the results can support better decisions.
This blog supports the rest of my portfolio by showing the learning and reasoning behind my work. It also reflects the areas I continue to build on: Python, SQL, databases, data cleaning, NLP basics, dashboards, reporting, and applied analytics.
Thank you for reading,
Tanja