As a former sport scientist, I began my data science journey during my studies at the German Sports University in Cologne, the Karlsruhe Institute of Technology, and the University of Calgary, Canada – with statistical analyses in Matlab and computer simulations. Early on, I combined my analytical mindset with practical applications by developing several Python-based bike fitting tools, which I now showcase on antonioblago.com.
Over the years, I expanded my expertise by implementing a business intelligence suite at Ergon International GmbH and currently work as a data analyst at Ehrhardt + Partner GmbH. My focus: transforming complex data into actionable insights for process optimization, automation, and strategic planning.
In parallel, I specialize in data-driven SEO with a strong focus on scalable keyword analysis, SERP behavior, and technical performance audits. On my SEO-focused website antonioblago.de, I share custom Python workflows, tools, and insights to help SEOs and content teams make smarter decisions. Topics include:
- Keyword clustering at scale
- API-powered keyword research (e.g. DataForSEO)
- Opportunity scoring & topical gap analysis
- Technical SEO insights & SERP pattern mining
- SEO automation for editorial planning
My goal is to combine clean code with sharp SEO strategy – creating transparent, repeatable systems for measurable growth.
In my free time, I enjoy building financial market analysis tools and documenting what I learn along the way via blog articles and tutorials.
If you're interested in data-powered SEO workflows or want to collaborate on smarter content strategy: feel free to reach out!
