SpazioDati srl
Daniele Tovazzi has a diverse work experience in the field of data science and research. Daniele started their career as a Visiting Research Scholar at the University College Cork in 2014. Daniele then pursued a PhD in Computational Mathematics at the University of Padova, where they worked as a PhD student from 2014 to 2018. Following this, they joined FinScience as a Data Scientist from January 2018 to February 2019. Daniele then worked as a Researcher & Machine Learning Developer at Energenius Srl from February 2019 to April 2020. Currently, they are working as a Data Scientist at SpazioDati srl from April 2020 onwards.
Daniele Tovazzi has a strong educational background in mathematics. Daniele earned their Doctor of Philosophy - PhD in Mathematics from the Università degli Studi di Padova, completing their studies there from 2014 to 2018. Prior to their doctoral degree, they obtained a Master's degree in Mathematical Sciences - Mathematics for Economy and Finance from Università di Trento, which they pursued between 2012 and 2014. Daniele also holds a Bachelor's degree in Matematica from the same institution, having studied there from 2009 to 2012.
In addition to their academic degrees, Daniele Tovazzi has obtained two certifications. Daniele earned the ECDL certification from the ECDL Foundation in 2009. Daniele obtained the First Certificate in English from the University of Cambridge in June 2008.
SpazioDati srl
By leveraging Big Data, Machine Learning & Semantic Web techs we are building a high-quality knowledge-graph derived from hundreds of sources. The graph powers Dandelion API, a state-of-the-art text analytics SaaS engine available at dandelion.eu ,and Atoka, next generation Sales & Marketing Intelligence platform available at atoka.io.From text to actionable data: extract meaning from unstructured text and put it in context with a simple API. We support a wide range of use cases like: enriching existing databases, building smart search engines and recommender systems on document collections, adding location knowledge to web apps, automatically tagging products on e-commerce sites, using data to create infographics and marketing research and many more!