Federico Amato
Principal Data Scientist
Lausanne, Vaud, Switzerland
Summary
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Top SchoolFederico Amato is a Principal Data Scientist at the Swiss Data Science Center with a PhD and over a decade of experience turning research-grade AI into production impact across health, environment, insurance, manufacturing and energy. He leads end-to-end initiatives—from conceptual innovation and multimodal model development (images, text, speech, structured data) to scalable deployment—while mentoring small teams and managing client partnerships with NGOs, industry and public institutions. His technical breadth spans generative AI, LLM-ops, computer vision and applied statistics, enabling pragmatic solutions that deliver measurable outcomes. Combining academic roots in sustainable development with hands-on engineering, he uniquely bridges environmental research and industrial AI applications to prioritize societal and sustainability impact.
7 years of coding experience
4 years of employment as a software developer
Escuela Técnica Superior de Ingeniería de Edificación, Escuela Técnica Superior de Ingeniería de Edificación at Universidad Politécnica de ValenciaLiceo Scientifico Pier Paolo PasoliniDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Università degli Studi della Basilicata
French, English, Spanish, Italian
Github Skills (9)
feature-selection9
python9
prediction9
deep-learning8
machine-learning8
tensorflow7
neural-network7
ml5
deep-neural-networks5
Programming languages (2)
Github contributions (5)
federhub/ST_DeepLearning
Jul 2020 - Aug 2021
Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"
Contributions:7 commits, 7 pushes, 2 branches in 1 year 1 month
deep-learningclimate-dataprediction
federhub/pyGRNN
Mar 2019 - Apr 2021
Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided
Contributions:6 releases, 51 commits, 48 pushes in 2 years
feature-selectionneural-networkpython
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