Mauro Di Pietro
Author at Towards Data Science
Istanbul, Türkiye Turkey
Summary
👤
Senior🎓
Top SchoolMauro Di Pietro is a data scientist, content creator and technology leader with eight years of experience blending hands-on ML work and clear technical storytelling. Based in Istanbul, he writes for Towards Data Science and other tech outlets while serving as CTO at MAIK AI and Lead for AI & Cybersecurity at Intesa Sanpaolo, bridging research, production and governance in financial settings. His GitHub utilities showcase practical expertise in data cleaning, visualization and time-series forecasting, reflecting a pragmatic approach to reproducible analytics. Trained in economics and data science, Mauro pairs quantitative rigor with a knack for crafting engaging explanations—he says he excels at creating problems as much as solving them, a hint at his creativity in designing experiments and tutorials.
8 years of coding experience
5 years of employment as a software developer
Data Science, Data Science at Big Data Academy - Intesa SanpaoloMaster of Economics and Finance, Master of Economics and Finance at Luiss Guido Carli UniversityExchange program, Exchange program at SKEMA Business School
English, Italian, Chinese
Stackoverflow
3reputation
1kreached
0answers
1question
Github Skills (20)
data-visualizations10
artificial-intelligence10
python10
data-science10
scikit10
pandas10
machine-learning10
time-series10
data-visualisation10
scikit-learn10
data-visualization10
classification8
regression8
natural-language-processing7
deep-learning7
Programming languages (3)
Github contributions (5)
mdipietro09/DataScience_ArtificialIntelligence_Utils
Aug 2019 - Jun 2021
Examples of Data Science projects and Artificial Intelligence use-cases
Role in this project:
Data Scientist
Data ScientistContributions:35 commits, 5 PRs, 190 pushes in 1 year 10 months
Contributions summary:Mauro contributed significantly to the repository by creating and documenting data analysis and machine learning utility functions. Their work included functions for data cleaning, visualization, and exploratory data analysis. The user also developed tools for time series analysis, including forecasting and confidence interval calculations. These utilities were implemented using Python and various data science libraries.
casespythontime-seriesnatural-language-processingclassification
mdipietro09/App_StringsMatcher
Oct 2019 - Jun 2021
String Matching Web App
Contributions:6 commits, 2 PRs, 19 pushes in 1 year 8 months
string-matchingdashpythonstringmatching
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