Maria Spatafora
Funzionario Informatico
Catania, Sicily, Italy
Summary
👤
Senior🎓
Top SchoolMaria Spatafora is an experienced computer scientist with 8 years of professional experience, currently serving as Funzionario Informatico at INAIL and pursuing a PhD in Informatics at the University of Catania. Her work blends applied machine learning, computer vision and deep learning with domain-focused deployments in banking and healthcare. She has a strong academic record—Master’s and Bachelor’s degrees with highest honors—and hands-on research experience developing ML algorithms for text, image and video, including GANs and security-aware coding. Earlier roles in audioprosthetics and extensive internships give her rare cross-disciplinary expertise in hearing technologies and biomedical data collection. Based in Catania, Sicily, she combines production-oriented public-sector experience with active data-science practice (GitHub identity: Data Scientist), making her particularly effective at translating research prototypes into operational solutions. Colleagues value her ability to bridge rigorous research methods with practical, regulatory-conscious implementations.
8 years of coding experience
Master Degree, Computer Science, 110/110 cum Laude, Master Degree, Computer Science, 110/110 cum Laude at University of CataniaHigh School "Liceo Classico Capizzi" Bronte (CT)Secondary School "Luigi Castiglione" Bronte (CT)Dottorato di ricerca, Informatics, Dottorato di ricerca, Informatics at Università di Catania
English, Italian
Github Skills (40)
datasets8
fact-checking7
prediction7
tripwire7
open-datasets6
activity-recognition6
linear-regression6
pattern-recognition5
regression5
sklearn5
data-quality5
md54
crypto4
python4
change-detection4
Programming languages (2)
Github contributions (5)
ausilianapoli/Audio-watermark-using-DWT-DCT-scrambling-image
Dec 2019 - Feb 2020
Contributions:132 commits in 2 months
GabriM97/CryptoWolf
Feb 2019 - Apr 2019
Crypto-predicter using Machine Learning algorithms based on Linear Regression.
Contributions:28 commits, 3 pushes, 6 comments in 2 months
regressionfairness-mlpythonpredictionsklearn
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