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.
OR..
Data scientist designing tools where the alternation of automated data analysis and interactive on-demand visualization help the user in solving complex problems and detecting hidden patterns/anomalies in the data.
Keywords: guided analytics; visual analytics; machine learning; data science; big data; Python; JavaScript; d3.js; KNIME; AWS; ...
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. Since May 2021 I have been leading the Verified Components team of data scientists, releasing data science libraries, functions and tools via reusable and reliable KNIME workflows.
While working for KNIME I have been travelling to teach the company free and open-source tool for Meetups and business conferences (e.g.ODSC). Besides that, I have been producing webinars, videos, blog posts and blueprint applications available on KNIME Hub. KNIME work environment feels great: friendly, modern, international and indulging. To see the details of my work inspect the section "KNIME Projects" on the left.
The purpose of this project is to develop another viz tool using a black box approach to recognize sets of instances where the model makes similar decisions.
In October 2017 I graduated at the Master (MSc) of Data Science from Sapienza University of Rome and my thesis is available here.
I was part of the first graduation in Italy for a Data Science degree. The ceremony had many guests from companies like Google, Unicredit and Eurostat (more info here). To celebrate this day I wrote with the other graduating students a journal with articles talking about our experiences in the last two years and about the development of our theses.
My project was involving the development of a visual analytics tool able to display interactively machine learning explanations.
I published a paper about this project in the workshop HILDA 2017, which took place in Chicago at SIGMOD 2017. After graduation I went back to NY to present my thesis at Google (more info here).
Projects
Rivelo - visual analytics tool for machine learning explanations.