I work in Data & Analytics, with a strong focus on turning messy, real-world data into information people can actually trust.
My background combines analytical skills with a solid understanding of business processes, which means I care not only about what the data says, but whether it is reliable enough to support decisions, analytics or AI.
I believe data is more than numbers โ
itโs a system of definitions, assumptions and trade-offs that must be made explicit.
- Data quality as a foundational layer, not a cleanup task
- Working with imperfect, inconsistent and evolving data sources
- Bridging business logic with technical implementation
- Making data limitations visible instead of hiding them downstream
Iโm less interested in hype and more in: clarity, consistency and trust in data.
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Data Quality Hell
A real-world data quality project focused on common production problems: inconsistent schemas, ambiguous roles, missing values and unclear definitions.The goal is not to create a โperfectโ dataset, but to build reliable foundations before analytics or AI.
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Data Science Salary Analysis
An analysis of data science salary trends across sources and regions, focused on extracting insights that are actually useful.
- LinkedIn: Bernardo Novelo
If you care about building data systems that hold up in practice, weโre probably aligned.