Pietro Scanzi
Data Scientist
I work on data science problems where structure, rigour and clarity matter — combining statistical modelling and machine learning in real-world analytical contexts.
About
I am a Data Scientist with a strong foundation in statistics, machine learning and quantitative reasoning. My work focuses on structuring problems clearly and developing robust solutions grounded in solid methodology.
I operate in financial and analytical contexts, working on data pipelines, predictive modelling and large-scale data workflows. My approach combines technical depth with clarity of thought, aiming for solutions that are both rigorous and practically effective.
Focus
Statistical Modelling
Designing models grounded in statistical reasoning and inference.
Machine Learning
Applying machine learning methods to high-dimensional and real-world data.
Data Pipelines
Designing scalable workflows for data processing and analysis.
Analytical Thinking
Structuring problems clearly and solving them with rigour and precision.
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