Carlo Torniai

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Well-established, accomplished Data Scientist with experience ranging across various areas of Computer Science and Information Technology. Strong background in data modeling, data analysis and data engineering. Extensive experience with Python in the data science space (pandas, scipy, scikit-learn). Skilled manager with a record of successful team built from scratch. Strong communicator with the ability to bring together technical and business profiles on challenging issues. Dual citizenship: American and Italian.

data science ctsaconnect semantic web smart manufacturing manufacturing python ctsa linked data ontologies eagle-i industry 4.0 agile milan social good code for good r plotly web application machine learning flask linkedin linkedin api bio ontologies monarch ehr model databases emr enr expertise amia tbicri translational research electronic medical records vivo mesh icbo obo foundry biomedical ontologies ontology

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Carlo Torniai

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Torniai icbo

From billing codes to expertise: mining, representing and sharing clinical research profiles in the Linked Data Cloud

Amia 2013: How can bio-ontologies support clinical and translational science?

Amia 2013: From EHRs to Linked Data: representing and mining encounter data for clinical expertise evaluation

Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine Learning and Linkedin API.

Data Science for Smart Manufacturing

Data Science for Social Good

How a global manufacturing company built a data science capability from scratch

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Big Data Architectural Patterns