Data preparation
SQL queries, joins and cleaning that turn scattered exports into one reliable dataset.
Data Analytics & Data Science
Data that answers
business questions.
I use Python, SQL and R to turn operational data into decisions. Eight years in B2B operations and a master's in Human Geography mean I start from the business question, not from the tool.
How I work
Four steps, every time.
01
Frame the question
Start from the decision someone needs to make, not from the data or the tool.
02
Collect & clean
Pull the data together, fix gaps and duplicates, and document every assumption.
03
Analyse & test
Explore patterns, test whether they are real, and segment where it matters.
04
Explain & act
A short summary and one clear chart that people actually read and act on.
Capabilities
What I can do with your data.
Analysis & statistics
Exploratory analysis, hypothesis testing and segmentation with Python and R.
Reporting
Management-ready summaries and dashboards: few numbers, clearly explained.
Automation
Python scripts that replace repetitive manual reporting and copy-paste work.
Databases
Working with relational and document data in MySQL and MongoDB.
Spatial thinking
GIS literacy from a master's in Human Geography: patterns in places, populations and markets.
- Python
- SQL
- R
- MySQL
- MongoDB
- GIS
Where I've used it
Real context, not just courses.
Operations reporting
In my current B2B role I turn order, invoicing and stock data into summaries management can act on, and catch problems before the client notices them.
Academic research
My master's in Human Geography at Comenius University was built on analysing patterns in data, populations and markets, systematically and spatially.