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cv: April 4, 2018
webpage: April 9, 2020


Publications

Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations
Paolo Tamagnini, Josua Krause, Aritra Dasgupta and Enrico Bertini
In Workshop on Human-In-the-Loop Data Analytics (HILDA), 2017

KNIME Projects

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Media

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Paolo Tamagnini

Data scientist specialized in guided analytics applications

paolotamag [at] gmail [dot] com

Data scientist with research experience, fond of data visualization and machine learning, currently working for KNIME in Berlin.

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Keywords: guided analytics; visual analytics; machine learning; data science; big data; Python; JavaScript; d3.js; KNIME; AWS; ...


In October 2017 I graduated in my master in Data Science in Rome at Sapienza University and my thesis is available here.

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My thesis was related to an internship I started in August 2016 in the research team of Enrico Bertini, associate professor at New York University, Tandon School of Engineering.

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In November 2017 I have been working on an open-source python library called partial_dependence in collaboration with Josua Krause and Enrico Bertini.

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In May 2018 I moved to Berlin to work as a data scientist in the evangelism team of KNIME. My work at KNIME is variegated, but it is particularly focused on guided analytics and automated machine learning.

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Projects


Certifications