SpazioDati srl
Roberto Santoro has a diverse range of work experience in the field of software development and data science. Roberto started their career in 2015 as a Software Developer and Data Scientist at SpazioDati srl. In this role, they likely worked on various projects related to data analysis and software development.
In 2013, Roberto joined the University of Pisa as a Graduate Researcher. Under the supervision of Professor Paolo Ferragina, they worked on two research projects. The first project, "Algorithms for network and text analysis of graph-based large datasets" involved analyzing and devising algorithms for economic networks. The second project, "A novel graph for social-network analysis and search built by entity-annotators, and its applications" focused on developing algorithms for similarity measures and classification on knowledge graphs and their applications to social networks.
Additionally, since 2020, Roberto has been working as a Lecturer at the Master Big Data & Social Mining program at the University of Pisa. In this role, they teach a course in Information Retrieval and provides guidance and support to student teams on their semester-long projects.
Overall, Roberto Santoro's work experience showcases their expertise in software development, data analysis, and research in the field of graph-based datasets and social networks.
Roberto Santoro completed their Bachelor's degree in Computer Science at Università di Pisa. Roberto then pursued a Master's degree (Laurea Magistrale) in Computer Science from the same institution, which they completed in 2013.
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!