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Years of teaching taught me that understanding something and explaining it are two very different skills. I'm discovering that the same lesson applies to data: good analysis only becomes useful when the person receiving it can understand what it means.

Clear data doesn't always change people's minds. A look at how psychology, existing beliefs and business context influence the way we interpret evidence and make decisions.

I tracked 298 job applications over seven months. When I finally treated my job search like a dataset, the results challenged several of my assumptions - and changed the question I was asking.

An end-to-end Business Analysis and Data Analytics project demonstrating how SQL, Python, Power BI and CRM process design can be combined to improve customer support operations.

This project explores how clear, practical MI reporting can support day-to-day operational decisions by making workload, backlog and service performance easier to understand.

Changing careers doesn't have to mean starting from zero. A reflection on why I don't want my previous career to disappear, and how banking, teaching and running a business continue to shape the analyst I'm becoming.

Changing careers into data taught me that learning SQL was not the hardest part. The real challenge was learning how to connect years of valuable experience with a profession that often recognises experience only when it comes with the "right" job title.

A reflection on how working in target-driven environments changed the way I look at KPIs, reporting and performance data.

A practical reflection on why data analysis doesn’t start with data — but with unclear business problems that need to be understood first.

A reflection on why reporting alone is not enough - and why the real value of analysis starts when decisions are made.

A personal reflection on entering data analytics - and why experience doesn’t always “count” until it has the right job title.

A practical reflection on how stakeholder requests often differ from actual business needs — and why understanding the problem matters more than delivering the output.

When data doesn’t give a clear answer, the goal is not to force one - but to make the decision clearer by showing trade-offs, risks and possible scenarios.

A data analysis project exploring revenue loss and operational risk in a tutoring business using Python, SQL and Power BI.

A practical look at how I use Python in data analysis when Excel is not enough — from scenario testing to deeper analytical insights.

A small data analysis project comparing Data Analyst job postings in the UK and Poland using LinkedIn data. The Tableau dashboard explores competition levels, experience expectations and the most commonly requested analytical tools.

A data analysis project exploring how discount levels influence profitability using Python and a Power BI dashboard to identify an optimal discount strategy.

A reflection on why “junior” doesn’t mean “inexperienced” and how diverse backgrounds strengthen analytical teams.

A clinical trial case study exploring how statistical analysis translates into clear, decision-ready conclusions.

For me, SQL is not just about extracting data — it’s a way of turning vague business questions into clear, testable insights.